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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>Essenti-Diabete@22:57:29</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>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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 hypertension and diabetes mellitus in the i2b2 database using the query builder, with no specific timing constraints for either condition, and the accuracy scale set to 100 for both panels. |
```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>Visit-Person_#1000000045@11:25:36</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>2</hlevel>
<item_name>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find patients who have had a visit with any type of visit, and have been diagnosed with essential (primary) hypertension and diabetes mellitus (e08-e13) 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>Visit-Person_#1000000045@11:33:25</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>2</hlevel>
<item_name>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>1</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>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>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>
</ns3:query_definition>
``` |
I want to find all patients who have had a visit of any type and were diagnosed with essential (primary) hypertension or diabetes mellitus at any time during their 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>Visit-Essen-DiabePerson_#1000000045@11:36:24</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>2</hlevel>
<item_name>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find patients with a visit type of essential (primary) hypertension and a diagnosis of diabetes mellitus (e08-e13) in any time period, with a specificity scale of 0 and an accuracy scale of 100, where the visit type is recorded in the Visit Details section and the diagnosis is recorded in the Diagnoses section under Endocrine, Nutritional and Metabolic 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>Essenti-Diabete@22:57:57</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>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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 hypertension (code 401) and diabetes mellitus (code 250) in any time frame, with a specificity scale of 0 and accuracy scale of 100 for each panel, and both panels are not inverted. The query is named "Essenti-Diabete@22:57:57" and has two panels, each containing one item related to the specified diagnoses. The panels have no time constraints and the results will include patients with both 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>Exter-Assau-Assau@16:15:28</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>2</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>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>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</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>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) that includes assault by blunt object and assault by crashing of a motor vehicle, with a high level of specificity and no time constraints. |
```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>Visit-Person_#1000000045@11:29:44</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>2</hlevel>
<item_name>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>1</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>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>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>
</ns3:query_definition>
``` |
I want to find all visits where the patient has been diagnosed with Essential (primary) hypertension (I10) and Diabetes mellitus (E08-E13) at any time, regardless of the specificity scale, specificity scale set to 0, and with an accuracy scale of 100 for both panels. The query is named "Visit-Person_#1000000045@111:29:44". |
```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>Visit-Essen-Diabe@11:31:10</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>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>1</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>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>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>
</ns3:query_definition>
``` |
I want to find all visits where a patient has been diagnosed with Essential (primary) hypertension and Diabetes mellitus (e08-e13) in any time period, with a high level of specificity and accuracy. |
```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>Visit-Essen-Diabe-primaryhypertension@11:34:20</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>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find visits with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) in the patient's medical record, with no specific time frame restriction. |
```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>Person_#1000000045@11:35:07</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>2</hlevel>
<item_name>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find patients with any visit type who have been diagnosed with essential (primary) hypertension (ICD10-ICD9 code I10) and diabetes mellitus (ICD10-ICD9 code E08-E13) with an accuracy scale of 100 and no specificity scale or timing constraints. |
```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@20:00:32</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>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>0</hlevel>
<item_name>(PrevQuery)Acute pancreati@19:58:57</item_name>
<item_key>masterid:4351</item_key>
<tooltip>Acute pancreati@19:58:57</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of acute pancreatitis at any time, using the ICD-9 code 5777.0, and compare it with a previous query result named "Acute pancreati@19:58:57" which was run at an earlier 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>Visit-Essen-Diabe@11:35:32</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>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find patients who have had a visit of any type and have been diagnosed with essential (primary) hypertension and diabetes mellitus. |
```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>visit-1000000045@11:35:56</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>Visit type</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Visit type</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>
<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>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>
</ns3:query_definition>
``` |
I want to find all patients with a visit type of "Essential (primary) hypertension" and "Diabetes mellitus (e08-e13)" with any timing and specificity scale set to 0, and with 1000% accuracy in each panel. |
```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>Outpa-Prima-Diabe-Person_#1000000045@11:39:24</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find outpatient visits with a diagnosis of primary pulmonary hypertension and diabetes mellitus (E08-E13) within any time frame, with a high level of specificity and accuracy. |
```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>Outpa-Prima-Diabe-Person_#1000000045@11:41:15</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find outpatient visits for patients with a diagnosis of primary pulmonary hypertension and a diagnosis of diabetes mellitus (e08-e13) within the same visit, with a high level of specificity and accuracy, regardless of the timing of the 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>Femal-Diabe-Hyper@20:41:00</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>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>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</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>Hyperchylomicronemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Mixed hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other and unspecified 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>FA</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>4</hlevel>
<item_name>Pure hypercholesterolemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Pure hyperglyceridemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with diabetes mellitus type II (non-insulin dependent type or adult-onset type) or unspecified type, both controlled and uncontrolled, with or without renal manifestations, as well as hyperchylomicronemia, mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, and pure hyperglyceridemia. |
```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>Outpa-Prima-Diabe-Person_#1000000045@11:40:50</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find patients with an outpatient visit who have been diagnosed with primary pulmonary hypertension and have a co-existing diagnosis of diabetes mellitus (e08-e13) in 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>Person_#1000000045@11:44:47</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>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>
<item>
<hlevel>4</hlevel>
<item_name> Visit at age 89 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\>= 85 years old\89\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ >= 85 years old \ 89 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>
<item>
<hlevel>3</hlevel>
<item_name>Asian</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Race \ Asian</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>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find a female Asian patient aged 89 or older who has had an outpatient visit and has been diagnosed with primary pulmonary hypertension and has diabetes mellitus. |
```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>Assault (x92-y0@12:13:53</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>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of diagnoses related to external causes of morbidity, specifically those coded within the range of V0-Y9, with a focus on assault cases coded under X92-Y08, using the ICD10 and ICD9 classification systems, with a high level of specificity (100) and accuracy, and no inversion applied, across all available time periods (ANY). |
```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>Assault-Assault@12:14:40</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>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</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>
</ns3:query_definition>
``` |
I want to find all instances of diagnoses related to assault, specifically those involving blunt objects, with a high level of specificity and accuracy, regardless of the timing 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>Essen-Diabe-Perso@23:01:43</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>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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>0</hlevel>
<item_name>(PrevQuery)Person_#1000000045</item_name>
<item_key>masterid:3740</item_key>
<tooltip>Person_#1000000045</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with essential hypertension and diabetes mellitus diagnoses, and who are associated with Person_#100000045, with a high specificity 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>Outpa-Prima-Diabe-Person_#1000000045@11:42:09</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find outpatient visits with a diagnosis of primary pulmonary hypertension and diabetes mellitus (ICD-10 codes E08-E13) with any timing and 100% accuracy scale. |
```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>Person_#1000000045@11:43:05</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find patients with an outpatient visit who have been diagnosed with primary pulmonary hypertension and have a co-existing diagnosis of diabetes mellitus. |
```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>Outpa-Prima-Diabe@11:45:20</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>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>
<item>
<hlevel>4</hlevel>
<item_name> Visit at age 89 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\>= 85 years old\89\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ >= 85 years old \ 89 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>
<item>
<hlevel>3</hlevel>
<item_name>Asian</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Asian\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Race \ Asian</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>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find outpatient visits by female Asian patients aged 89 or older with a diagnosis of primary pulmonary hypertension and a history of diabetes mellitus (e08-e13). |
```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>Outpa-Prima-Diabe@11:46:32</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>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>5</hlevel>
<item_name>Primary pulmonary hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Diseases of pulmonary circulation (415-417)\(416) Chronic pulmonary heart dis~\(416-0) Primary pulmonary hyperte~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Diseases of pulmonary circulation \ Chronic pulmonary heart disease \ Primary pulmonary hypertension</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>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>
</ns3:query_definition>
``` |
I want to find outpatient visits with a diagnosis of primary pulmonary hypertension and diabetes mellitus (E08-E13) with a specificity scale of 0 and an accuracy scale of 100, including all timings (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>HEMOGLOBIN A1C,@18:22:42</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>5</hlevel>
<item_name>HEMOGLOBIN A1C, WB (LOINC:17856-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:17856-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ HEMOGLOBIN A1C, WB (LOINC:17856-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>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>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of Hemoglobin A1C (HbA1C) measurements, using the LOINC code 17856-6, with a value greater than 7%, in the i2b2 database, regardless of the time it was recorded. |
```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>Assault (x92-y0@11:57:02</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>2</hlevel>
<item_name>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of diagnoses related to external causes of morbidity, specifically those classified under the code range X92-Y08, which includes assault, using the i2b2 query builder with a specificity scale of 0 and a panel accuracy scale of 100, with a panel timing of ANY and a query timing of ANY, and with a panel number of 1 and an invert value of 0. |
```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-- 35-- 45-@18:42:27</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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 45-54 years old with a principal diagnosis of symptoms, signs, and ill-defined conditions (ICD codes 780-79) or a diagnosis related to the respiratory system (ICD codes 460-519), and who have experienced injury or poisoning (ICD codes 80-999) within any time frame, while also considering their income, race, and musculoskeletal and connective tissue diagnoses (ICD codes 710-739). |
```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-- 35-- 45-@18:48:32</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>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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients aged 45-54 years old with a principal diagnosis of symptoms, signs, and ill-defined conditions (780-79) or a diagnosis in the respiratory system (460-519) and their income, race, and if they have any musculoskeletal or connective tissue diagnoses (710-739). Additionally, I want to include patients with a diagnosis of injury and poisoning (80-999). |
```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>Female-Male@19:25:23</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>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>
<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>
<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>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>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who have been diagnosed with a respiratory system condition (ICD codes 460-519) and are either female or male, with no specificity scale applied and any timing for the query. The query consists of two panels, one for female patients and one for male patients, each containing only one item related to the respiratory system 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>Female-Male@20:06:00</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>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>
<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>
<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>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>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a female gender and a diagnosis related to the respiratory system, as well as patients with a male gender and a diagnosis related to the respiratory system. The query will search for these two groups of patients at any time and has a high level of specificity and accuracy. |
```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>Assault-Assault@12:05:10</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>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</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>
</ns3:query_definition>
``` |
I want to find diagnoses related to external causes of morbidity, specifically assault cases, including assault by blunt object, with a high level of specificity and accuracy. |
```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>Assau-Assau-Assau@12:15:22</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>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</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>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>
</ns3:query_definition>
``` |
I want to find all cases of assault (ICD10-ICD9 code X92-Y08) in the database, including both assault by blunt object (code Y00) and assault by crashing of motor vehicle (code Y03), with no time constraints and with a high level of specificity (1000%). |
```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>Coronavirus as @12:24:15</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>Coronavirus as the cause of diseases classified elsewhere</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B95-B97) Bact~28iq\(B97) Viral ag~m3ak\(B97.2) Corona~1804\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Bacterial and viral infectious agents (b95-b97) \ Viral agents as the cause of diseases classified elsewhere
\ Coronavirus as the cause of diseases classified elsewhere</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find diagnoses of diseases caused by coronavirus that are classified elsewhere in the ICD-10 or ICD-9 coding system, specifically under the category of Bacterial and Viral infectious agents (B95-B97), with a focus on viral agents as the cause of diseases (B97) and Coronavirus as the cause of diseases classified elsewhere (B97.2). |
```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@11:41:41</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>Arterial vascular disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Arterial vascular disease (440-447)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Arterial vascular 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>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>Conditions in the perinatal period</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Conditions in the perinatal period (760-779)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Conditions in the perinatal period</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\Conditions in the perinatal period (760-779)\%</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>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>
</ns3:query_definition>
``` |
I want to find patients who have been admitted with a diagnosis of arterial vascular disease and conditions in the perinatal period, and exclude those with any other circulatory system 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>Clini-Educa-Socio@14:15:10</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>Clinical Measures</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\</item_key>
<item_icon>FA</item_icon>
<tooltip>oasis \ Clinical Measures</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>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>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>Socioeconomic Status</item_name>
<item_key>\\BIRN\BIRN\oasis\Demographics\Socioeconomic Status\</item_key>
<item_icon>FA</item_icon>
<tooltip>oasis \ Demographics \ Socioeconomic Status</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of clinical measures, education, and socioeconomic status data within the BIRN oasis database, with a high level of specificity and accuracy, regardless of the timing of the data collection. |
```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>Obste-Low i- 18-@15:27:08</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>2</hlevel>
<item_name>Obstetrics and Gynecology</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\OBGYN\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ OBGYN</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>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</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> 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>
</panel>
</ns3:query_definition>
``` |
I want to find patients who visited an Obstetrics and Gynecology provider, have a low income, and are between the ages of 18-34 years old, with no specific time frame or accuracy scale applied. |
```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>Femal- 18--Influ@15:42:01</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>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> 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>
</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>Influenza</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Pneumonia and influenza (480-487)\(487) Influenza\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Respiratory system \ Pneumonia and influenza \ Influenza</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients aged 18-34 years old who have been diagnosed with influenza. |
```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>Asthma- 0-9 y@15:42:53</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>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>
</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> 0-9 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old</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>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of asthma who are between the ages of 0 and 17 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>Anemia -Blood G@00:27:26</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>Anemia Related Studies</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB31) Anemia Related Studies\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Anemia Related Studies</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>Blood Gases/Oximetry</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB72) Blood Gases/Oximetry\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Blood Gases/Oximetry</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have had Anemia Related Studies and Blood Gases/Oximetry tests performed at any time, with a high level of specificity and accuracy, and no inversion of the results. |
```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>Male-Events @10:42:29</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>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>
<item>
<hlevel>3</hlevel>
<item_name>French</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Language\French\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Language \ French</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>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all male patients with events of pregnancy diagnoses in their medical records. |
```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>Pregn-Obste- 18-@15:24:14</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>1</hlevel>
<item_name>Pregnancy, childbirth and the puerperium (o00-o99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99)</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>Obstetrical procedures</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(72-75) Obstetrical procedures\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Obstetrical procedures</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> 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>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 18 and 34 years old, and have been diagnosed with pregnancy, childbirth, or puerperium related conditions (ICD-10 codes O0-O9), and have undergone obstetrical procedures (ICD9 codes 72-75) during their inpatient stay. |
```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-Obstetr@15:25:26</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> 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>
</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>Obstetrical procedures</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(72-75) Obstetrical procedures\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Obstetrical procedures</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 34 years old and have had obstetrical procedures performed on them based on ICD9 inpatient coding. |
```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-Obstetr@15:25:42</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>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>
</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>Obstetrical procedures</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(72-75) Obstetrical procedures\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Obstetrical procedures</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-34 or 35-44 years old who have had an obstetrical procedure documented in their medical 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>Mild Al-Educati@13:25:40</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 Alzheimers disease</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Mild Alzheimers disease\</item_key>
<item_icon>FA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ Mild Alzheimer's disease</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>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>
</ns4:query_definition>
``` |
I want to find patients with a Mild Alzheimer's disease diagnosis and their education level information in the oasis clinical measures and demographics sections of the i2b2 database, with an accuracy scale of 100 and any timing for both panels. |
```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-Low inc@15:27:43</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>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>
</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>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-34 years old with a low income 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>Female-Admit D@15:29:22</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>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</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\Events of pregnancy (630-677)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Early or threatened labor</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\(644) Early or threatened labor\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy \ Early or threatened labor</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with a diagnosis of early or threatened labor at the time of admission. |
```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@08:12:30</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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of Diabetes Mellitus (Endocrine disorders > Other endocrine gland diseases > Diabetes mellitus) with a specificity scale of 0, any timing, and an accuracy scale of 100. This query will search for the diagnosis using the i2b2 query builder and return results that match the given criteria. |
```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>Asthma- 0-9 y@15:43:05</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>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>
</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> 0-9 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old</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>
<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>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of asthma, between the ages of 0 and 34 years old, at any time in their 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>Male-Digesti@06:46:03</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>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>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 male patients with diagnoses related to the digestive system (ICD codes 520-579) 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>Gender-French@15:04:59</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>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>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>French</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Language\French\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Language \ French</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a gender value and who have French as their language in their demographic information. |
```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> 0-9-HEMOG-HGB A@15:38:31</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> 0-9 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old</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>
<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>HEMOGLOBIN A1C, WB (LOINC:17856-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:17856-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ HEMOGLOBIN A1C, WB (LOINC:17856-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</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>
<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>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>6.5</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>
</ns3:query_definition>
``` |
I want to find patients aged 0-9 or 10-17 years old with a Hemoglobin A1C level greater than 6.5% as measured by either LOINC:17856-6 or LOINC:4548-4 tests. |
```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-HGB A1C@15:39:48</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> 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>
</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>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>6.5</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>
</ns3:query_definition>
``` |
I want to find patients aged 18-34 years old with Hgb A1C levels greater than 6.5% as recorded in the laboratory tests using the LOINC code 4548-4. |
```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>Asthm- 0-9-Low i@15:43:23</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>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>
</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> 0-9 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old</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>
<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>
</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>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</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 asthma, aged between 0-9, 10-17, or 18-34 years old, who have a low income. |
```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>Asthm- 0-9-Low i@15:43:32</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>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>
</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> 0-9 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 0-9 years old</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>
<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>
</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>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Medium income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Medium income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Medium income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who have been diagnosed with asthma, are between the ages of 0-17 years old, and have a low or medium income. |
```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>Principal Diagn@12:23:09</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>1</hlevel>
<item_name>Diseases of the respiratory system (j00-j99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(J00-J99) Dise~45pn\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all diagnoses related to diseases of the respiratory system (ICD-10 codes J00-J9) with any timing and any specificity scale, constrained by the "Principal Diagnosis" modifier, with an accuracy scale of 100 and a total of 1 item occurrence in a single panel. |
```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>Asthm-Low i- 18-@18:02:40</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>Asthma</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</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>3</hlevel>
<item_name>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Medium income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Medium income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Medium income</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> 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>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of asthma, who are between the ages of 18-34, and have either low or medium income. |
```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>Low i-Asthm- 18-@21:19:23</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>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</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>Asthma</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<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>
</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> 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>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a low income who have been diagnosed with asthma, and are between the ages of 18 and 34 years old. |
```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>Low i-Asthm- 18-@21:19:36</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>3</hlevel>
<item_name>Low income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\Low income\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Income \ Low income</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>Asthma</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<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>
</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> 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>
</panel>
</ns3:query_definition>
``` |
I want to find patients who have a low income, have been diagnosed with asthma, and are between the ages of 18 and 444 years old. |
```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@11:41:20</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>Arterial vascular disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Arterial vascular disease (440-447)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Arterial vascular 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>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>Conditions in the perinatal period</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Conditions in the perinatal period (760-779)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Conditions in the perinatal period</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\Conditions in the perinatal period (760-779)\%</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>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>
</ns3:query_definition>
``` |
I want to find patients with diagnoses of arterial vascular disease and conditions in the perinatal period, and who have been admitted to the hospital, with a focus on the circulatory system and a high level of specificity. |
```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--Mixed-HMG-C@21:08:03</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>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> 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>Mixed hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other and unspecified 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>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Pure hypercholesterolemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Pure hyperglyceridemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperchylomicronemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</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>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 45 and 64 years old, have mixed hyperlipidemia, other and unspecified hyperlipidemia, pure hypercholesterolemia, pure hyperglyceridemia, or hyperchylomicronemia, 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>Admit-Admit-Admit@11:41:53</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>Arterial vascular disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Arterial vascular disease (440-447)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Arterial vascular 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>2</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>Conditions in the perinatal period</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Conditions in the perinatal period (760-779)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Conditions in the perinatal period</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\Conditions in the perinatal period (760-779)\%</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>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>
</ns3:query_definition>
``` |
I want to find patients who have a diagnosis of Arterial Vascular Disease (ICD code range 40-47) as an Admit Diagnosis, excluding those with conditions in the perinatal period (ICD code range 760-79) as an Admit Diagnosis, and also excluding patients with any diagnosis from the Circulatory System (ICD code range 390-459) as an Admit 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>Admit Diagnosis@11:42:15</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>Conditions in the perinatal period</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Conditions in the perinatal period (760-779)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Conditions in the perinatal period</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\Conditions in the perinatal period (760-779)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients who had conditions in the perinatal period (ICD-9 codes 760-79) as their admit diagnosis, with a specificity scale of 0 and a panel accuracy scale of 100, at any time during their stay, and with no synonyms applied. |
```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>Diagnoses@11:09:10</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database at any time with a specificity scale of 0 and a panel accuracy scale of 100, with the item being a single-level hierarchy named "Diagnoses" and using the class "ENC" with no synonyms applied. |
```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-- 35-- 45-@18:49:51</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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</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> 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>2</hlevel>
<item_name>Income</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Income</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Musculoskeletal and connective tissue</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</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\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 45-54 years old, with any income, of any race, who have been diagnosed with a respiratory condition (ICD-9 codes 460-519), a symptom, sign, or ill-defined condition (ICD-9 codes 780-79), or an injury or poisoning (ICD-9 codes 80-999) in their medical record, during any time period, and group the results by age, income, race, and 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>HEMOGLOBIN A1C,@18:23:02</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>5</hlevel>
<item_name>HEMOGLOBIN A1C, WB (LOINC:17856-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:17856-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ HEMOGLOBIN A1C, WB (LOINC:17856-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>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>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of Hemoglobin A1C, WB (LOINC:17856-6) lab tests with a value greater than 7% within any time frame, with a specificity scale of 0 and a panel accuracy scale of 100, where the item is not a synonym, and the class is ENC. |
```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>Diagnoses@09:08:02</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0 and a total of 1 item occurrence, where the query timing and panel timing are set to ANY, and the panel accuracy scale is set to 100. The query will search for encounters (ENC) and has a panel number of 1. |
```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>Diagnoses@09:52:14</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with any level of specificity, at any time, and with a high level of accuracy. This query will search for the term "Diagnoses" in the i2b2_DIAG table and display the results in a panel with a panel number of 1 and a total of 1 item occurrence. The query does not have any synonyms and is of the ENC class. |
```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>Diagnoses@10:44:15</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with no specific time constraint and a high level of accuracy, using the Diagnoses item from the i2b2_DIAG category. |
```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>Diagnoses@10:58:18</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0, an accuracy scale of 100, and a timing set to "ANY," within a single panel with one total item occurrence, and the item named "Diagnoses" being the only panel member with a class of ENC and no synonyms. |
```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>Female-Male@19:09:02</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>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>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>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with injury and poisoning diagnoses or mental disorders and male patients with the same 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>Essenti-Diabete@10:29:16</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>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 (ICD10-ICD9 code I10) and Diabetes mellitus (ICD10-ICD9 code E08-E13) at any time in their medical history. The specificity scale is set to 0, indicating that the search is not restricted to a specific time frame, and the panel accuracy scale is set to 100, meaning that both conditions must be present for a patient to be included in the results. |
```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>Diagnoses@09:46:22</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0, accuracy scale of 100, and any timing, using the Diagnoses@09:46:22 query name and panel number 1. The query should include only one item with a hlevel of 1, named Diagnoses, and the key \\i2b2_DIAG\i2b2\Diagnoses\, with the class ENC and not marked as a synonym. The icon used for this item is FA. |
```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>Diagnoses@09:47:33</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with any specificity and time range, using the "Diagnoses" element within a single panel, with a total occurrence count of 1, and with a 100% accuracy scale. This query will not be inverted, and the data will be encoded in the ENC format. |
```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>Diagnoses@09:53:19</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with an accuracy scale of 100 and any timing, where the specificity scale is set to 0 and the panel number is 1, with no inversion applied. |
```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>Female-Male@19:43:44</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>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>
<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>
<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>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>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis in the Respiratory system (460-519) who are either female or male, with no specificity scale or timing constraints, and the accuracy scale set to 100. The query consists of two panels: one for female patients and one for male patients, each with one item related to the Respiratory system. |
```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@14:07:11</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>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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 hypertension (Essential hypertension) and diabetes mellitus (Diabetes mellitus) within the specified time frame (ANY), with a specificity scale of 0 and a panel accuracy scale of 100, using the i2b2 query builder. The query is named "Essenti-Diabete@14:07:1" and includes two panels, one for each condition, with a total of one item occurrence for each panel. The first panel focuses on essential hypertension under the circulatory system category, while the second panel focuses on diabetes mellitus under the endocrine disorders category. The query will return patients with these diagnoses, excluding any synonyms and with no inversion applied. |
```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>Diagnoses@10:54:27</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with no specificity scale applied, and with 1000% accuracy, within any timeframe. This query will search for the Diagnoses concept in the i2b2_DIAG namespace, using the ENC (Encounter) class, and it will return one occurrence of the concept per patient. The query will not be inverted, and the panel number is set to 1. |
```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>Diagnoses@10:59:40</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, regardless of specificity or time frame, with a high level of accuracy, using the "Diagnoses" element within the "i2b2_DIAG" category, and display the results in a panel labeled as "Diagnoses@10:59:40". |
```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>Diagnoses@11:03@17:13:38</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>0</hlevel>
<item_name>(PrevQuery)Diagnoses@11:03:59</item_name>
<item_key>masterid:2941</item_key>
<tooltip>Diagnoses@11:03:59</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients who have any diagnoses recorded at any time in the database with a specificity scale of 0 and a panel accuracy scale of 100, and the query should include a single item with the name "Diagnoses@1:03:59" and a panel timing of ANY, with the item having a hierarchy level of 0 and a key of "masterid:2941", without considering synonyms. |
```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>Diagnoses@11:14:19</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database at any time, with a specificity scale of 0 and a panel accuracy scale of 100, using a single panel with no inversion, and only one item occurrence. The item I am interested in is named "Diagnoses" and its key is "\\i2b2_DIAG\i2b2\Diagnoses\", with an icon of "FA" and classified as an ENC (Encounter) type. The tooltip for this item is "Diagnoses", and it is not a synonym for any other item. |
```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>Diagnoses@11:03@17:18:38</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>0</hlevel>
<item_name>(PrevQuery)Diagnoses@11:03:59</item_name>
<item_key>masterid:2941</item_key>
<tooltip>Diagnoses@11:03:59</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all de-identified CT reports with any diagnoses, including those from the previous query, with a specificity scale of 0 and an accuracy scale of 100, and the results should be displayed in panel 1 with panel timing 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>Essenti-Diabete@14:07:33</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>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been diagnosed with Essential hypertension and Diabetes mellitus at any time, with a specificity scale of 0 and a panel accuracy scale of 100, using 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>Diagnoses@11:03:59</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with no specificity scale applied, at any time, and with a high level of accuracy. |
```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>Diagnoses@11:16:00</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database at any time with 100% accuracy and no specificity scale applied, with the panel number set to 1 and the total number of item occurrences set to 1, using the Diagnoses item from the i2b2_DIAG category. |
```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>Diagnoses@11:17:19</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses (medical conditions) recorded in the i2b2 database with a high level of specificity (1000%) and without any time constraint (ANY timing), using the "Diagnoses" element within the "i2b2_DIAG" category. |
```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>Diagnoses@11:27:00</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database at any time with a high level of accuracy (1000%) and with no specificity filtering, grouped into panel 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>Essenti-Diabete@14:07:51</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>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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 hypertension (code 401 in the ICD-9-CM classification) and diabetes mellitus (code 250 in the ICD-9-CM classification) in the i2b2 database, with any timing specification and a specificity scale of 0, using the Endocrine disorders and Circulatory system categories. |
```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@20:41:08@20:56:19</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>0</hlevel>
<item_name>(PrevQuery)Living@20:41:08</item_name>
<item_key>masterid:8615</item_key>
<tooltip>Living@20:41:08</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who were alive at 20:41:08 and 20:56:19 with any specificity scale, any timing, and a panel accuracy scale of 100, where the panel is inverted and consists of a single item that checks if the patient was alive at 20:41:08 with a hierarchical level of 0 and the key "masterid:8615", and the item is not 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>Diagnoses@11:10:29</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database, with a specificity scale of 0, a panel timing of ANY, a panel accuracy scale of 100, and a total of 1 item occurrence, using the item named "Diagnoses" with the key "\\i2b2_DIAG\i2b2\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>Diagnoses@11:10:39</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with a specificity scale of 0, a total of 1 item occurrence, and an accuracy scale of 100, considering any timing and with no inversion applied, within a single panel named "Diagnoses" and labeled as "Diagnoses@1:10:39". |
```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>Female-Male@20:08:06</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>
<item>
<hlevel>3</hlevel>
<item_name>Married</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Married\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Marital Status \ Married</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>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>
<item>
<hlevel>3</hlevel>
<item_name>Married</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Married\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Marital Status \ Married</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all female patients who have been diagnosed with mental disorders and are married, as well as all male patients who have been diagnosed with mental disorders and are married. |
```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>Female-Male@20:10:33</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>
<item>
<hlevel>3</hlevel>
<item_name>Single</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Single\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Marital Status \ Single</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>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>
<item>
<hlevel>3</hlevel>
<item_name>Single</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Single\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Marital Status \ Single</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with a mental disorder diagnosis and a single marital status, as well as male patients with the same mental disorder diagnosis and single marital status. The query should include all encounters for these patients, regardless of the timing or specificity scale, and the panel accuracy scale should be set to 100. |
```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>Female@20:19:11</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>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>
<item>
<hlevel>3</hlevel>
<item_name>Divorced</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Divorced\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Marital Status \ Divorced</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients aged 20 to 19 years old with a diagnosis of mental disorders and who are divorced. |
```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>Ohio- 35--Gende@19:39:15</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>Ohio</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\Ohio\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Zip codes \ Ohio</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> 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> 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> 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>
</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>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>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 35 and 444 years old, reside in Ohio, and are male or female, with no specific time constraint. |
```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>Diagnoses@11:12:19</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>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>
</ns3:query_definition>
``` |
I want to find all diagnoses recorded in the i2b2 database with a high level of specificity (1000%) and no time restriction (ANY timing) for the first panel, using the Diagnoses element (\\i2b2_DIAG\i2b2\Diagnoses\) with a total of 1 occurrence. The query is named "Diagnoses@1:12:19" and has a specificity scale of 0, meaning that the results will be unfiltered. The panel accuracy scale is set to 100, indicating a high level of accuracy. The query is not inverted, and there is only one item in the panel. |
```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@14:08:31</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>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been diagnosed with essential hypertension (ICD-9 code 401) and diabetes mellitus (ICD-9 code 250) at any time during their medical history, 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>Essen-Diabe-Perso@14:10:58</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>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential 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>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Diabetes mellitus</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</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>0</hlevel>
<item_name>(PrevQuery)Person_#1000000045</item_name>
<item_key>masterid:3740</item_key>
<tooltip>Person_#1000000045</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find a patient with a diagnosis of essential hypertension and diabetes mellitus, who is also person number 100000045 in the database, with any timing for the diagnoses and a specificity scale of 0. |
```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>Principal Diagn@19:07:09</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>1</hlevel>
<item_name>Diseases of the circulatory system (i00-i99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all encounters where the principal diagnosis is related to diseases of the circulatory system (ICD10-ICD9 codes I0-I9) with a specificity scale of 0, any timing, and a total of 1 occurrence, constrained by the principal diagnosis modifier. |
```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 (x92-y0@16:26:16</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>Assault (x92-y08)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</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 external causes of morbidity, specifically focusing on assault (x92-y08) in the ICD10_ICD9 classification system, with a high level of specificity and accuracy, and no inversion of the results, within any time frame. |
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