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```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestCholestHGB A1CDiagnos@11:24:11</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with a cholesterol test result from Observation A and a hemoglobin A1C test from Observation B, where the hemoglobin A1C test was performed less than or equal to 365 days after the cholesterol test, and where there is a diagnosis of diabetes within Observation C, which is any diagnosis event that occurred before the hemoglobin A1C test. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestCholestHGB A1CDiagnos@11:24:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find subjects with a cholesterol level greater than or equal to 240 mg/dl (Observation A) and who also have a Hgb a1c value (Observation B) within the same instance number, and who have a diagnosis (Observation C) within the same instance number, where the Hgb a1c value occurred after the cholesterol test and the diagnosis occurred after the Hgb a1c test. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestCholestHGB A1CDiagnos@11:25:05</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>6.5</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients with an Observation A event where their cholesterol level (group: CHOL) is greater than or equal to 240 mg/dl and an Observation B event where their Hgb A1c (LOINC: 4548-4) is greater than or equal to 6.5%, and these events should occur at the same instance number, as well as an Observation C event where they have a diagnosis of type 2 diabetes within the same instance number. The Observation A event should occur before or at the same time as Observation B, and Observation B should occur before or at the same time as Observation C. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>mild dementia@16:48:45</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>0</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>2</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Beyond college</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Education\Beyond college\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Demographics \ Education \ Beyond college</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Biopsy of external ear</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(18-20) Operations on ear\(p18) Operations on external ear\(p18-1) Diagnostic procedures on ~\(p18-12) Biopsy of external ear\</item_key>
<item_icon>LA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Operations on ear \ Operations on external ear \ Diagnostic procedures on external ear \ Biopsy of external ear</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of mild dementia, who have a level of education beyond college, and have had a biopsy of their external ear performed. The query should include any timing, have a specificity scale of 0, and an accuracy scale of 0. The panel will consist of three items: mild dementia, beyond college education, and biopsy of external ear. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>TRIGLYCERIDES (@11:06:00</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>TRIGLYCERIDES (LOINC:2571-8)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\TRIG\LOINC:2571-8\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Triglycerides (Group:TRIG) \ Triglycerides (LOINC:2571-8)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>EQ</value_operator>
<value_constraint>H</value_constraint>
<value_type>FLAG</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of Triglycerides (LOINC:2571-8) lab tests that have been performed at any time with a specificity scale of 0, an accuracy scale of 100, and a panel number of 1, with the item being a part of the Chemistry panel under the Labtests panel. The query should look for exact matches and not be inverted. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>mild -Atlas-Arter@12:31:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Atlas scaling factor</item_name>
<item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\Atlas scaling factor\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Derived Anatomic Volumes \ Atlas scaling factor</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Arteriosclerotic dementia, uncomplicated</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Psychosis (290-299)\(290) Senile and presenile organi~\(290-4) Arteriosclerotic dementia\(290-40) Arteriosclerotic dementi~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Psychosis \ Senile and presenile organic psychotic conditions \ Arteriosclerotic dementia \ Arteriosclerotic dementia, uncomplicated</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of mild dementia, who have an Atlas scaling factor recorded in their chart, and have been diagnosed with Arteriosclerotic dementia, uncomplicated. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60-Acute p@18:12:25</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-60 years old with a diagnosis of acute pancreatitis within the last 12 hours. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 55-64-Skin di@17:42:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Skin diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Skin diseases (680-709)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Skin diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients aged 5-64 years old who have been diagnosed with skin diseases. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 55-64-Skin di@17:43:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Skin diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Skin diseases (680-709)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Skin diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients aged 5-64 years old with skin diseases. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) FemaleDiagnosesLaboratory Test@11:29:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>2000-12-01T00:00:00.000-05:00</date_from>
<date_to>2021-02-23T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Laboratory Tests</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>2000-12-01T00:00:00.000-05:00</date_from>
<date_to>2021-02-23T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all female patients who have had a diagnosis and a laboratory test within the same encounter, between December 1, 200000 and February 23, 2021. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>De-Id-De-Id-X-Ray@19:14:32</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>a</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified CT Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified CT Reports\</item_key>
<item_icon>LAE</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified CT Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>b</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\X-Ray Reports\</item_key>
<item_icon>LAE</item_icon>
<tooltip>i2b2 \ Reports \ X-Ray Reports</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find de-identified X-ray and CT reports in the i2b2 repository with specificity set to 100 and constrain the search by the presence of the letters "a" and "b" in the report content. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Circu-Gende-Endoc@23:19:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with diagnoses related to the circulatory system (ICD-9 codes 390-459), who have gender information recorded in their demographics, and also have diagnoses related to endocrine disorders (ICD-9 codes 240-259). The query should have a specificity scale of 0, meaning it will include all possible results, and a timing of ANY, meaning it does not consider the time frame of the diagnoses. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@17:52:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with neurologic disorders as the principal diagnosis, excluding those with nutritional deficiencies. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@17:52:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with a principal diagnosis of neurologic disorders (30-389) and a secondary diagnosis of nutritional deficiencies (260-269) in any time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>221610_-221612_@11:46:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>221610_s_at (55620)</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\221610_s_at (55620)\</item_key>
<item_icon>LA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133\221610_s_at (55620)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>ratio</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>221612_at (57408)</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\221612_at (57408)\</item_key>
<item_icon>LA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133\221612_at (57408)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>ratio</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients whose 21610_s_at (5620) expression levels are less than 10 ratio units in Affymetrix HG-U13 panel 1 and 21612_at (57408) expression levels are also less than 10 ratio units in Affymetrix HG-U13 panel 2, with no specific timing constraints, and with a high level of specificity and accuracy. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>HGB A1C (LOINC:@20:16:43</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of Hemoglobin A1C (Hgb A1C) lab test results with a LOINC code of 4548-4 within the i2b2 database, where the value is greater than 10%. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Circula-Gender@23:19:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) along with the gender of the patient in the i2b2 database. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>ICD9 (Inpatient@20:01:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>ICD9 (Inpatient)</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all inpatient ICD9 codes recorded in the i2b2 database with any timing and 100% accuracy, using a panel with one item named "ICD9 (Inpatient)" and with a specificity scale of 0, where the class is ENC and the item is not a synonym. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 55--Hemat-Neuro@19:17:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 5 and 64 years old who have been diagnosed with hematologic diseases and neurologic disorders, with no specific timing or accuracy requirements. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 55--Hemat-Neuro@19:17:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 5 and 64 years old who have been diagnosed with either hematologic diseases or neurologic disorders at any time. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(+) De-Identified X@11:39:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>2</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all de-identified X-ray reports in the i2b2 repository with a high level of specificity (1000%) and any timing, displayed on panel 1 with the name "De-Identified X-Ray Reports" and icon "LA". |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>ICD9 (Inpatient@20:02:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>ICD9 (Inpatient)</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Outpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all outpatient visits with an ICD9 code (Inpatient) recorded within the specified time frame, using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>ICD9 (I-Outpati@20:02:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>ICD9 (Inpatient)</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Outpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(Y90-Y99) Supp~9pss\(Y92) Place of~m9xr\(Y92.5) Trade~mk9c\(Y92.53) Ambul~1qy0\(Y92.530) Ambu~4h9e\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Supplementary factors related to causes of morbidity classified elsewhere (y90-y99)
... \ Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of ICD9 (Inpatient) procedures and Outpatient visits, and specifically focus on the occurrences of outpatient surgery centers connected to a hospital as the place of external cause. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>5 years-Decease@12:03:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>5 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\5 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old \ 5 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Male</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Male</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Deceased</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Deceased</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all male patients who are 5 years old and have a deceased vital status. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>5 years-Decease@12:03:42</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>5 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\5 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old \ 5 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Male</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Male</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Deceased</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Deceased</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find male patients who are 5 years old and have a deceased vital status. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>ICD9 -Outpa-Outpa@20:02:48</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>ICD9 (Inpatient)</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Outpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(Y90-Y99) Supp~9pss\(Y92) Place of~m9xr\(Y92.5) Trade~mk9c\(Y92.53) Ambul~1qy0\(Y92.530) Ambu~4h9e\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Supplementary factors related to causes of morbidity classified elsewhere (y90-y99)
... \ Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(Y90-Y99) Supp~9pss\(Y92) Place of~m9xr\(Y92.5) Trade~mk9c\(Y92.53) Ambul~1qy0\(Y92.530) Ambu~4h9e\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Supplementary factors related to causes of morbidity classified elsewhere (y90-y99)
... \ Outpatient surgery center, including that connected with a hospital as the place of occurrence of the external cause</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have had an outpatient visit and were diagnosed with an external cause related to an outpatient surgery center, including those connected with a hospital, within the specified time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Disorders of ir@20:11:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Disorders of iron metabolism</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(275) Disorders of mineral metabo~\(275-0) Disorders of iron metabol~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of mineral metabolism \ Disorders of iron metabolism</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all diagnoses related to disorders of iron metabolism within the category of metabolic and immunity disorders using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Disorders of ir@20:11:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Disorders of iron metabolism</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(275) Disorders of mineral metabo~\(275-0) Disorders of iron metabol~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of mineral metabolism \ Disorders of iron metabolism</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of disorders related to iron metabolism in the i2b2 database, within the category of metabolic and immunity disorders, with a specificity scale of 0 and a total item occurrence of 1. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Disorders of mi@20:14:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Disorders of mineral metabolism</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(275) Disorders of mineral metabo~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of mineral metabolism</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of diagnoses related to disorders of mineral metabolism in the i2b2 data repository, with a specificity scale of 0, and a total item occurrence of 1, using the panel number 1 with any timing and accuracy scale of 100, and the item name being "Disorders of mineral metabolism" with the key "\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(275) Disorders of mineral metabo~", and the icon "FA", class "ENC", and without any synonyms. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>HGB A1C (LOINC:@20:16:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>6</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where the Hemoglobin A1C (HgbA1C) lab test result has a value greater than 6%, as indicated by the LOINC code 4548-4, within any timeframe, with a high level of accuracy, and display it in the panel labeled "1" with a total of 1 item occurrence. This query is designed to specifically target the Hemoglobin A1C (HgbA1C) test and its corresponding LOINC code, with no synonyms being used, and the results will be constrained by the specified value and unit of measure. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Morbid (severe)@09:47:55</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Morbid (severe) obesity due to excess calories</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E65-E68) Over~68gg\(E66) Overweig~2c19\(E66.0) Obesit~tgmc\(E66.01) Morbi~shmb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Overweight, obesity and other hyperalimentation (e65-e68)
\ Overweight and obesity \ Obesity due to excess calories \ Morbid (severe) obesity due to excess calories</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find diagnoses related to morbid (severe) obesity due to excess calories within the ICD-10 and ICD-9 coding systems under the category of Endocrine, Nutritional and Metabolic Diseases (E00-E89) and specifically within the subcategory of Overweight, Obesity and Other Hyperalimentation (E65-E68) and Overweight and Obesity (E66) with a high level of specificity (100) and any timing. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Hyperli-HMG-CoA@12:32:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</item_name>
<item_key>masterid:89</item_key>
<tooltip>Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find a query that searches for any patient with a specific panel, named "Hyperli-HMG-CoA@12:32:37", that has a specificity scale of 0, a panel timing of ANY, an accuracy scale of 100, and a panel number of 1. The query should include one item with the name "(PrevQuery)Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]" and an item key of "masterid:89". This item should not be considered a synonym. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestHGB A1CCholestDiagnos@11:25:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>6.5</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients who have had a cholesterol test with a result greater than or equal to 240 mg/dl and a hemoglobin A1C test with a result greater than or equal to 6.5% at the same instance, as well as having at least one diagnosis of diabetes within the same instance. The cholesterol test and the hemoglobin A1C test must be performed before the diabetes diagnosis, and the diabetes diagnosis must occur within the same encounter as the cholesterol test. Additionally, the cholesterol test must be performed after the hemoglobin A1C test. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestCholestHGB A1CDiagnos@11:25:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>6.5</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients who have had a cholesterol level greater than or equal to 240 mg/dl and a Hgb A1c level greater than or equal to 6.5% in the same instance number, and who also have a diagnosis in their record during the same instance number. Additionally, I want to limit the search to only include patients who have not had a cholesterol level less than or equal to 2000 mg/dl in the past year before the date of the cholesterol test, and have not had a Hgb A1c level less than or equal to 5.7% in the past year before the date of the Hgb A1c test. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Pre-e-Hyper@11:27:48</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in childbirth</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.12) Pre-e~vm9q\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in childbirth</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
\ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, first trimester</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\(O24.111) Pre-~ywjy\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy \ Pre-existing diabetes mellitus, type 2, in pregnancy, first trimester</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, second trimester</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\(O24.112) Pre-~ypl5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy \ Pre-existing diabetes mellitus, type 2, in pregnancy, second trimester</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, third trimester</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\(O24.113) Pre-~nukd\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy \ Pre-existing diabetes mellitus, type 2, in pregnancy, third trimester</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, unspecified trimester</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\(O24.119) Pre-~792g\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy \ Pre-existing diabetes mellitus, type 2, in pregnancy, unspecified trimester</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in the puerperium</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.13) Pre-e~xdpg\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in the puerperium</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with pre-existing diabetes mellitus, type 1, type 2, or gestational diabetes, as well as those with hypertension, during pregnancy, childbirth, or the puerperium, including specific trimesters, and in the puerperium, and any complications affecting specified body systems, not elsewhere classified, such as hypertension. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Educati-mild de@06:02:45</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Education</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Education\</item_key>
<item_icon>FA</item_icon>
<tooltip>oasis \ Demographics \ Education</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where a patient has a record of mild dementia in the 'Clinical Dementia Rating (CDR)' category within the 'Clinical Measures' section of their OASIS chart, and they also have a record of education listed in the 'Demographics' section of their chart. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(PrevQuery)Hype@00:28:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</item_name>
<item_key>masterid:89</item_key>
<tooltip>Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients with any hyperlipidemia diagnosis occurring between 12:34 PM and 2:21 PM on January 24, 2018, in a specific panel with a specificity scale of 0 and an accuracy scale of 100, using a query named "Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]." |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Circula-Digesti@00:31:42</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all diagnoses related to the Circulatory system (ICD-9 codes 390-459) and the Digestive system (ICD-9 codes 520-579) with an accuracy scale of 100% and any timing, including both specific and synonymous terms, within the i2b2 data warehouse. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Inpatient visit@22:40:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all inpatient visits with any timing and 100% accuracy scale, with no specificity, and the query should be named "Inpatient visit@22:40:02". |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Acute-Livin@19:38:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 35-64 years old with a diagnosis of acute pancreatitis who are currently living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Exter-Assau-Assau@16:31:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>External causes of morbidity (v00-y99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Assault by blunt object</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y00) Assault~ymnk\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by blunt object</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Assault by crashing of motor vehicle</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y03) Assault~rwkc\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by crashing of motor vehicle</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of external causes of morbidity (v0-y9) and assault by blunt object (Y00), excluding those with a diagnosis of assault by crashing of motor vehicle (Y03). |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) Endocrine disorEndocrine disorCirculatory sys@09:56:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with Endocrine disorders (diagnosis codes 240-259) who do not have any diagnoses related to the Circulatory system (diagnosis codes 390-459) during the same encounter. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Alachua@10:38:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Alachua</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\Florida\Alachua\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Zip codes \ Florida \ Alachua</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients in the Alachua zip code area of Florida, with any demographic information recorded at any time, using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Type -Essen@11:33:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of Type 2 diabetes mellitus and essential (primary) hypertension, with no specific time constraints for the diagnoses. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>UA-P/C - COLOR @12:52:38</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('AMBER')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of urine color test results coded with the LOINC code 578-6 that have the value 'AMBER' within the 'Urinalysis' panel, with a specificity scale of 0, accuracy scale of 100, and no inversion of the panel, for any time period. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>mild dementia@18:17:03</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have been diagnosed with mild dementia, with a specificity scale of 0 and accuracy scale of 100, using the Clinical Dementia Rating (CDR) measure within the Oasis Clinical Measures panel, and the query timing is set to ANY. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Obesity-Affymet@10:40:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Obesity</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\(278-0) Obesity\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation \ Obesity</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of obesity and the corresponding Affymetrix HG-U13 expression profiles data for analysis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Acute pancreati@11:15:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with acute pancreatitis aged 18-64 years old who are still living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18-34 years o@11:19:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 18-34, 35-44, 45-54, 555-64, 65-74, 75-84, or 85+ years old who have a diagnosis of hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Medicat-Procedu@07:43:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Procedures</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients who have had any medication and any procedure documented in their medical records. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) UA-P/C -CholestHGB A1CCholestDiagnos@11:26:05</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESSEQUAL</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>6.5</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients who have had a hemoglobin A1C (HbA1C) test result greater than or equal to 6.5% and a cholesterol test result greater than 240 mg/dL, and also have at least one diagnosis of type 2 diabetes, within the same encounter as the HbA1C and cholesterol tests, but no more than 14 days apart from the cholesterol test. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18-34 years o@11:20:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 18-34, 35-44, 45-54, 555-64, and 65 or older who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Hyper-HMG-C@11:21:54</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged between 18 and 74 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medication. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Hyper@11:23:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 35-64 with a diagnosis of hyperlipidemia, who are currently living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-Type @11:31:52</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of hypertension and type 2 diabetes mellitus, regardless of when the diagnoses were made. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Type -Hyper@11:32:26</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hypertension secondary to endocrine disorders</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I15) Secondar~6vfd\(I15.2) Hypert~ow3f\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Secondary hypertension \ Hypertension secondary to endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with Type 2 diabetes mellitus and hypertension secondary to endocrine disorders. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Type -Secon@11:33:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Secondary hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I15) Secondar~6vfd\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Secondary hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of Type 2 diabetes mellitus and secondary hypertension, with no specific timing constraints for either condition. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Right H-Female@09:54:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Right Handed</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Hand Orientation\Right Handed\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Demographics \ Hand Orientation \ Right Handed</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a record of being right-handed in the Oasis Demographics section of their electronic health record. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Essenti-Essenti@10:32:30</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of essential (primary) hypertension using the ICD-10 and ICD-9 codes, specifically within the range of I10-I15 for hypertensive diseases under the category of diseases of the circulatory system (i0-i9). The specificity scale is set to 0, and the query timing is set to ANY, meaning that the diagnosis could have been made at any point in time. The panel accuracy scale is set to 100, indicating high confidence in the results. The query consists of two panels, both with the same criteria, and the invert flag is set to 0, meaning that the query will return only positive matches. The total number of occurrences for each item is set to 1, and the class is set to ENC (Encounter). The query does not contain synonyms. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:35:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with the following demographics: age 18-24 years old, 25-34 years old, 35-44 years old, or 45-54 years old, and vital status as living. Additionally, I want to include patients with a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:36:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with the following characteristics:
1. Demographics: Age between 18-14 years old, 15-24 years old, 25-34 years old, 35-44 years old, 45-54 years old, 55-64 years old (specifically 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:38:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all encounters where the patient is between the ages of 35 and 64 years old and has a diagnosis of acute pancreatitis, with the vital status being living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@14:26:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of acute pancreatitis, using the i2b2 query builder with the following specifications:
- The query name is "Acute pancreati@14:26:24"
- The query timing is set to "ANY"
- The specificity scale is set to 0
- The panel number is 1
- The panel timing is set to "ANY"
- The panel accuracy scale is set to 100
- The panel is not inverted
- The total number of items in the panel is 1
- The item in the panel is "Acute pancreatitis" with the key "\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(57) Diseases of pancreas\(57-0) Acute pancreatitis"
- The icon for the item is "LA"
- The tooltip for the item is "Diagnoses \ |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Assault by blun@16:34:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Assault by blunt object</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y00) Assault~ymnk\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by blunt object</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of diagnoses related to assault by blunt object (ICD10/ICD9 code range V0-Y9, X92-Y08, Y00) in the i2b2 database, with any specificity scale, panel timing, and accuracy scale set to 100, and the panel number and total item occurrences set to 1. The query will not be inverted and the class is set to ENC. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Acute-Livin@11:36:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 35-64 years old, with a diagnosis of acute pancreatitis, who are currently living, regardless of the time of the diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:39:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of acute pancreatitis, who are between the ages of 35 and 64 years old, and are currently living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:39:23</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Acute pancreatitis, unspecified</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis
\ Acute pancreatitis, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged between 50-64 years old with a vital status of living, who have been diagnosed with acute pancreatitis, unspecified, within any time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@14:27:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with acute pancreatitis, aged between 8 and 60 years old. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18-34-Acute p@11:39:55</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all encounters where the patient is between the ages of 18 and 64, with a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18-34-Acute p@11:40:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find encounters of patients aged 18-34 years old, 35-44 years old, or 45-54 years old, who have been diagnosed with acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:43:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Acute pancreatitis, unspecified</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis
\ Acute pancreatitis, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are between the ages of 35-64 years old, are currently living, and have a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Diabetes mellit@14:51:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Diabetes mellitus</item_name>
<item_key>masterid:9721</item_key>
<tooltip>Diabetes mellitus</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been diagnosed with diabetes mellitus at any time, with a specificity scale of 0, accuracy scale of 100, and panel timing set to ANY, with the query named "Diabetes mellitus" and using the item key "masterid:9721". The panel number is set to 1, and the invert option is set to 0. This query will return patients with the condition "Diabetes mellitus" as a synonym. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>mild -Beyon-Left @13:44:54</query_name>
<query_timing>SAMEVISIT</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEVISIT</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEVISIT</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Beyond college</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Education\Beyond college\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Demographics \ Education \ Beyond college</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>SAMEVISIT</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Left Handed</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Hand Orientation\Left Handed\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Demographics \ Hand Orientation \ Left Handed</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with mild dementia who have a level of education beyond college and are left-handed, all within the same visit. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Hyper-HMG-C@11:41:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are between the ages of 18 and 74 years old and have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:42:57</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 35 and 64 who are currently living and have a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Admit-Admit-Admit@14:29:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Respiratory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Respiratory system</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who have been admitted with a primary diagnosis of a circulatory system disorder (ICD codes 390-459) or a respiratory system disorder (ICD codes 460-519). |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55--FEV1 -Weigh@14:30:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>FEV1 Observed Post BD</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\Pulmonary Function Reports\pulfev1obspost\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Pulmonary Function Reports \ FEV1 Observed Post BD</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Weight</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\Pulmonary Function Reports\pulweight\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Pulmonary Function Reports \ Weight</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 5-64 years old with a specific FEV1 observed post BD value and weight recorded in their medical records. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Acute pancreati@23:21:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Acute pancreati@23:42:30</item_name>
<item_key>masterid:770</item_key>
<tooltip>Acute pancreati@23:42:30</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find any records with the term "Acute pancreatitis" in the patient's medical history, with a specificity scale of 0 and a panel accuracy scale of 100, and the query should be a part of a panel with only one item, which is the term "Acute pancreatitis" with a hlevel of 0 and a tooltip of "Acute pancreatitis". The query timing should be set to ANY, meaning it could have occurred at any point in time. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-acute@11:44:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>acute (recurrent) pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ acute (recurrent) pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with the following characteristics:
1. Age group:
- 18 years old or younger
- 9-14 years old
- 15-24 years old
- 25-34 years old
- 35-44 years old
- 45-54 years old
- 555-64 years old
- 65-74 years old
- 75-84 years old
- 85 years old or older
2. Vital status: Living
3. Diagnosis: acute (recurrent) pancreatitis |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Recur@11:45:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Recurrent acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged between 35 and 64 years old who have been diagnosed with recurrent acute pancreatitis and are currently living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Acute@11:45:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find encounters where the patient is between the ages of 18-24 or 35-44, is living, and has a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Circulatory sysDigestive systeEndocrine disor@14:16:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have had a diagnosis of any disorder related to the circulatory system at any time, and have also had a diagnosis of a digestive system disorder at the same instance, but did not have an endocrine disorder diagnosis within the same time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:54:43</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2019-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have a diagnosis of mental disorders or hematologic diseases in the same encounter as a diagnosis of a circulatory system disorder, within 6 years of each other. Additionally, I want to exclude patients who have a diagnosis of a digestive system disorder during the same time period. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Acute-Livin@11:49:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 5 years old, 56 years old, 57 years old, 58 years old, 59 years old, 60 years old, or 61 years old with a diagnosis of acute pancreatitis and are currently living. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Asthma@12:30:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Asthma</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 10-17 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 10-17 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of asthma, aged between 10 and 17 years old, with any timing, specificity scale set to 0, and panel accuracy scale set to 100. The panel will be inverted, with a total of 1 item occurrence, and the query name is Asthma@12:30:36. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Living-Princip@12:30:44</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with the age between 18 and 64 years old, who have been diagnosed with acute pancreatitis as a principal diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Livin-Princ@12:31:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find encounters where the patient's age is between 45 and 64 years old, and the patient is living, and the encounter includes a diagnosis of acute pancreatitis as the principal diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Assault by cras@16:40:19</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Assault by crashing of motor vehicle</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y03) Assault~rwkc\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by crashing of motor vehicle</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all cases of assault by crashing of a motor vehicle, as classified under the ICD-10-CM code range X92-Y08, within the external causes of morbidity category (V0-Y9), with a specificity scale of 0 and a total item occurrence of 1, using the i2b2 query builder tool. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:52:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have been diagnosed with Mental Disorders at any time, and also have a diagnosis of a Circulatory system disorder within the same instance of care, but not within 1-6 years after the Mental Disorder diagnosis, and also have a diagnosis of a Digestive system disorder within the same instance of care. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:53:21</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have a diagnosis of Mental Disorders (ICD codes 290-319) at any time, and also have a diagnosis of Circulatory system disorders (ICD codes 390-459) and/or Digestive system disorders (ICD codes 52-57) within 6 years of the Mental Disorder diagnosis, where the Circulatory system disorder diagnosis occurs before the Digestive system disorder diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Essenti-Diabete@16:07:28</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Diabetes mellitus (e08-e13)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus, using the ICD-10 and ICD-9 coding systems for diseases of the circulatory system and endocrine, nutritional, and metabolic diseases, respectively. The specificity scale is set to 0, indicating that all occurrences of these diagnoses should be included, and the accuracy scale is set to 100, meaning that the query is highly accurate. The time frame for these diagnoses is set to "ANY," meaning that the query will include any instances of these diagnoses in the patient's medical history. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:55:20</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2019-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have a diagnosis of mental disorders or hematologic diseases at any time and have a diagnosis of a circulatory system condition between 1979-12-01 and 2018-01-29, but not a digestive system condition between 1979-12-01 and 2019-01-29. The mental disorder and hematologic disease diagnoses should be within the same encounter as the circulatory system diagnosis, but not within the same encounter as the digestive system diagnosis. The time frame for the circulatory and digestive system diagnoses should be within 1-6 years of each other. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:55:56</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2019-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have a diagnosis of Mental Disorders or Hematologic diseases, and also have a diagnosis of Circulatory system disorders, where the Circulatory system diagnosis occurred within 6 years before or after the Mental Disorders or Hematologic diseases diagnosis, and the Digestive system diagnosis occurred before the Circulatory system diagnosis and within 10 years before the Mental Disorders or Hematologic diseases diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Cholesterol (GrHGB A1C (LOINC:@15:15:21</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LE</value_operator>
<value_constraint>150</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>EQ</value_operator>
<value_constraint>L</value_constraint>
<value_type>FLAG</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified MRI Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified MRI Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified MRI Reports \</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LE</value_operator>
<value_constraint>4.7</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>EQ</value_operator>
<value_constraint>L</value_constraint>
<value_type>FLAG</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS[database]</value_operator>
<value_constraint>fracture</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients with a cholesterol level below 150 mg/dl or an abnormal value for cholesterol (group: CHOL) in their lab tests, as well as de-identified MRI reports. Additionally, I want to find patients with an Hgb A1c level less than or equal to 4.7% and a urine color result of L (light) in their lab tests, and de-identified X-ray reports that mention the word "fracture" in the report text. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG-C@20:16:19</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 18 and 74 years old, with a diagnosis of hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors medication. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female@12:59:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients in the database with any age and any visit date, using the Demographics panel in the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DoseAcebutolol Hydr@15:50:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Dose</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key>
<applied_path>\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\%</applied_path>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>100</value_constraint>
<value_unit_of_measure>mg</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Route</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Route\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Rx Sig</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\RxSig\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
<constrain_by_value>
<value_operator>LIKE[contains]</value_operator>
<value_constraint>asdfsdf</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Frequency</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Frequency\</modifier_key>
<applied_path>\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\%</applied_path>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('QD','QHS')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Acebutolol Hydrochloride 200mg capsule Mylan Pharmaceuticals Inc</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\00378120001\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol \ acebutolol hydrochloride 200mg capsule mylan pharmaceuticals inc</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients who have been prescribed Acebutolol (a cardioselective beta blocker) with a dose greater than or equal to 1000mg, within the same instance of the encounter, and have a route of administration of oral, and a frequency of either once daily (QD) or at bedtime (QHS). Additionally, I want to find the specific medication, Acebutolol Hydrochloride 20mg capsule manufactured by Mylan Pharmaceuticals Inc. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34-Acute p@16:38:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-34, 35-44, or 45-54 years old who have been diagnosed with acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 35-44 Acute p@16:39:44</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-64 years old who have been diagnosed with acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18- 60-Acute p@16:40:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-60 years old with a diagnosis of acute pancreatitis. |
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