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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>Acute pancreati@17:57:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Acute pancreatitis, unspecified</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis
\ Acute pancreatitis, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of acute pancreatitis, unspecified, in any time frame, with a specificity scale of 0 and an accuracy scale of 100, using the ICD10 and ICD9 coding system under the category of diseases of the digestive system, disorders of the gallbladder, biliary tract, and pancreas, and acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Type @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>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>Hypertensive diseases (i10-i15)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with hypertensive diseases (i10-i15) and type 2 diabetes mellitus (e1) 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>Acute pancreati@17:55:53</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of acute pancreatitis, within any time frame, using the specificity scale of 0, with a total of 1 item occurrence, and the panel accuracy scale set to 100, with the item being a synonym for acute pancreatitis located in the "Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis" category. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65-74-Neurolo@17:56:03</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> 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>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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with neurological disorders, considering their gender and any age-related demographics. |
```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@17:56:47</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of acute pancreatitis within the specified time frame, using the specificity scale of 0 and accuracy scale of 100, and including only the first panel with the invert option set to 0. The query is looking for the diagnosis code '(57-0) Acute pancreatitis' under the category 'Diseases of pancreas' in the 'Digestive system' section of the Diagnoses. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Neuro-Nutri@17:56:51</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> 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>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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with neurologic disorders and nutritional deficiencies in their medical records, regardless of the timing of their 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>Gender-Musculo@17:57:07</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>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>
<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>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>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis related to musculoskeletal and connective tissue issues who are between the ages of 18 and 34 years old, regardless of gender. |
```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>Livin- 18--Acu@22:09:15</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>0</hlevel>
<item_name>(PrevQuery)Livin- 18--Acute@18:13:23</item_name>
<item_key>masterid:247</item_key>
<tooltip>Livin- 18--Acute@18:13:23</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all records with a query named "Livin- 18--Acu@22:09:15" that have an ANY timing, a specificity scale of 0, and a panel number of 1. The panel has an accuracy scale of 100, is not inverted, and contains a total of 1 item occurrence. The item is named "Livin- 18--Acute@18:13:23" with a key of "masterid:24" and is not a synonym. The tooltip for this item is "Livin- 18--Acute@18:13:23". |
```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-Hyper-Type @14:08:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>Hypertensive diseases (i10-i15)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with hypertensive diseases and type 2 diabetes mellitus in their medical records, without any specific timing or accuracy requirements. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Acute pancreati@17:58:26</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of acute pancreatitis in the i2b2 database, regardless of the timing, with a specificity scale of 0 and a total of 1 item occurrence, and the specificity scale set to 100. The query will search for the diagnosis code "Acute pancreatitis" under the category "Diagnoses", "Digestive system", "Other diseases of digestive system", and "Diseases of pancreas" using the ENC (Encounter) class. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Neuro-Nutri@17:58:25</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 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>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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with neurological disorders and nutritional deficiencies, regardless of gender, during any time period. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Neuro-Menta@17:58:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>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>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>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>
</ns4:query_definition>
``` |
I want to find female patients aged 18-34 years old with diagnoses related to neurologic disorders and mental disorders. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hyperlipidemia@@22:09:40</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>0</hlevel>
<item_name>(PrevQuery)Hyperlipidemia@18:00:06</item_name>
<item_key>masterid:216</item_key>
<tooltip>Hyperlipidemia@18:00:06</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been diagnosed with hyperlipidemia at any time in their medical history, with a specificity scale of 0, and a panel accuracy scale of 100, and the query should be inverted with a total item occurrence of 1, where the item is identified by the key "masterid:216" and is not a synonym, and the panel timing is set to "ANY". |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@17:58:36</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> 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>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>
<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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with a principal diagnosis of neurologic disorders and nutritional deficiencies, excluding those aged 18-34 years old, within any time period. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-Dia@22:14:10</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>0</hlevel>
<item_name>(PrevQuery)Femal-Hyper-Diabe@17:43:50</item_name>
<item_key>masterid:331</item_key>
<tooltip>Femal-Hyper-Diabe@17:43:50</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find a query that will identify female patients with a history of hyperglycemia and diabetes mellitus, with a specificity scale of 0 and accuracy scale of 100, within any time frame, using the panel named "Femal-Hyper-Diabe@17:43:50" as a reference. |
```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>Cancer of colon@14:19:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Cancer of colon</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-9) Malignant neoplasm of col~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of colon, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of malignant neoplasm of the colon, unspecified, in the i2b2 database using the query builder with the specified timing and accuracy settings. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@17:59:59</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>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>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>
<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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old with neurologic disorders or nutritional deficiencies as a principal diagnosis and who are between 18-34 years old with respiratory system diagnoses as a principal diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Skin @18:00:06</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> 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>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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Skin diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Skin diseases (680-709)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Skin diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients aged 65-74 years old, with a principal diagnosis of a neurologic disorder, who also have a diagnosis of a skin disease. |
```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> 10-17-Digesti@11:17:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 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>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>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>
</ns4:query_definition>
``` |
I want to find all patients aged 10-17 years old with diagnoses related to the digestive system (ICD-9 codes 520-579). |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@18:00:28</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 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>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>
<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>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 65-74 years old, of Asian race, with a principal diagnosis of neurologic disorders, and a diagnosis of nutritional deficiencies. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hyperte-Diabete@18:04:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</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>6</hlevel>
<item_name>Diabetes mellitus type II</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of essential hypertension (unspecified) and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) within any time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Acute pancreati@18:02:06</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have been diagnosed with acute pancreatitis at any point in time, with a high level of specificity and accuracy, 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>68 years old@13:51:15</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>68 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\68 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 68 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>66 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>67 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\67 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 67 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\65 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 65 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 68 years old, 6 years old, 67 years old, or 65 years old, within the age range of 65-74 years old, with any timing, and a specificity scale of 0, and an accuracy scale of 100, in the Demographics category under the Age section, using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hyperte-Diabete@18:04:23</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>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</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>6</hlevel>
<item_name>Diabetes mellitus type II</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of essential hypertension and type II diabetes mellitus without mention of complication in the i2b2 database, with a specificity scale of 0 and any timing for both conditions. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female@18:06:31</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>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>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Secondary Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients with any diagnoses related to the circulatory system or the digestive system, where the digestive system diagnosis is specified as a secondary diagnosis, at any time. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female-Hyperte@@22:14:59</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>0</hlevel>
<item_name>(PrevQuery)Female-Hyperte@17:44:04</item_name>
<item_key>masterid:332</item_key>
<tooltip>Female-Hyperte@17:44:04</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of hypertension, with a specificity scale of 0 and a panel accuracy scale of 100, and the query should be applied to any time period (ANY). The query is a subset of another query called "Female-Hyperte@17:4:04". |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 65--Princ-Nutri@18:06:33</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> 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>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>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>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients aged 65-74 years old, both male and female, who have been diagnosed with neurologic disorders or nutritional deficiencies as principal 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>WHITE BLOOD COU@19:43:43</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>0</hlevel>
<item_name>(PrevQuery)WHITE BLOOD COU@11:23:32</item_name>
<item_key>masterid:4009</item_key>
<tooltip>WHITE BLOOD COU@11:23:32</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of the term "WHITE BLOOD COU" within a specific time frame (ANY) with a high level of accuracy (1000%) and with a specificity scale of 0, and the query will be named "WHITE BLOOD COU@19:43:43". This query is a modification of a previous query, "WHITE BLOOD COU@1:23:32", and will include only one item with a hierarchy level 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>L- - - -5-5-5-5-5-6@18:10:16</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>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>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>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>4</panel_number>
<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>
</panel>
<panel>
<panel_number>5</panel_number>
<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>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>6</panel_number>
<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>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>7</panel_number>
<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>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>8</panel_number>
<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>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>9</panel_number>
<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>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>10</panel_number>
<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>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are between the ages of 45 and 64 years old, specifically those who are 5, 6, 7, 8, 9, or 60 years old. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Circu-Endoc@19:18:58</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>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>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with diagnoses related to the circulatory system and endocrine disorders, without any specific time constraints for the diagnoses. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Type @13:52:44</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>
</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>Hypertensive diseases (i10-i15)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Type 2 diabetes mellitus</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with hypertensive diseases and type 2 diabetes mellitus. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) 18-34 years oCirculatory sysEndocrine disor@15:15:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients between the ages of 18-64 years old who have been diagnosed with a circulatory system disorder and have not been diagnosed with an endocrine disorder within the same time period. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Livin- 18--Acute@18:13:23</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>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>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>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all encounters where the patient is between 18-34 years old, 35-44 years old, or 45-54 years old, and has a diagnosis of acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 18--Hyper-HMG-C@18:20:33</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> 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>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 18-34 years old, 35-44 years old, 45-54 years old, 55-64 years old, 65-74 years old, or >= 85 years old with a diagnosis of hyperlipidemia and who have been prescribed HMG-CoA reductase inhibitors medications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Obesity@10:39:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Obesity</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\(278-0) Obesity\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation \ Obesity</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of obesity, specifically those with codes in the range 278-0 in the Metabolic and Immunity Disorders category (270-279) in the ICD-10 coding system, using the i2b2 query builder with a specificity scale of 0 and accuracy scale of 100, with the panel timing set to ANY and the query 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>Hormone- 35-44@14:37:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find all patients aged 35-44 years old who have been prescribed hormone medications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-Diabe@18:27:52</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</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>LA</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>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus without mention of complications. |
```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@21:57:26</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</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>LA</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>
</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>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of type II diabetes mellitus and unspecified essential hypertension, without any specified time frame or accuracy requirements. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Inpatient visit@14:29:20</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>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of inpatient visits in the i2b2 database with any timing and specificity scale set to 0, where the panel number is 1, accuracy scale is 100, and the total number of occurrences is 1. The query should be constrained by the date from December 1st, 1979. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female-Hyperte@@22:15:07</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>0</hlevel>
<item_name>(PrevQuery)Female-Hyperte@17:44:04</item_name>
<item_key>masterid:332</item_key>
<tooltip>Female-Hyperte@17:44:04</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients with a history of hypertension diagnosed between the ages of 17 and 44 years old, with a specificity of 100% and a timing set to 'ANY', meaning any time in the patient's history. The query is an extension of the previous query named 'Female-Hyperte@17:4:04'. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Mental DisorderCirculatory sysDigestive syste@14:54:00</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESSEQUAL</operator>
<span_value>6</span_value>
<units>YEAR</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Mental Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Mental Disorders</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2019-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-29T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of mental disorders or hematologic diseases, who also have a diagnosis of a circulatory system condition within the same instance number, but without a digestive system diagnosis within a span of 1-6 years prior to the circulatory system 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>Hyper- 18--HMG-C@21:48:48</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>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>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>
<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>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 with a diagnosis of hyperlipidemia and who are between the ages of 18 and 84, and have been prescribed HMG-CoA reductase inhibitors. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-Diabe@21:52:42</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>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential 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>6</hlevel>
<item_name>Diabetes mellitus type II</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>LA</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>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus without mention of complication. |
```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>Princ-Livin- 18-@21:53:10</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are living, between the ages of 18 and 64 years old, with specific age ranges of 5, 6, 7, 8, 9, 555, and 56 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>Medicine@14:40:45</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have seen a provider in the "Medicine" department, have a principal diagnosis related to the circulatory system (ICD-9 codes 390-459), and have had a CARDIOLIPIN IGG (LOINC:3181-5) lab test result with a value less than 10 gplu. |
```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>Cancer of colon@14:19:17</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>6</hlevel>
<item_name>Cancer of colon</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-9) Malignant neoplasm of col~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of colon, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of malignant neoplasm of the colon, unspecified, within any time frame, using the ICD-10 code (153.9) from the International Classification of Diseases, Tenth Revision, Clinical Modification. The query will have a specificity scale of 0, meaning it will return all instances of this diagnosis, and a panel accuracy scale of 100, indicating a high level of confidence in the results. This query is part of a panel with a panel number of 1 and a panel timing of ANY, meaning it will search for this diagnosis at any point in time. The query will not be inverted, and it will include only one item, which is the diagnosis of malignant neoplasm of the colon, unspecified. The hierarchy level (hlevel) is set to 6, and the tooltip provides additional information about the diagnosis being searched for. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-Diabe@21:56:42</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>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</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>LA</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>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus without mention of complications. |
```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>Inpatient visit@14:30:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>2018-01-25T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all inpatient visits within the specified date range, where the visit type is labeled as an inpatient visit, using the i2b2 query builder tool. |
```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>CT Reports@14:30:59</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>CT Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\CT Reports\</item_key>
<item_icon>LAE</item_icon>
<tooltip>i2b2 \ Reports \ CT Reports</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all CT Reports with any timing, in the first panel, with a specificity scale of 0, a panel timing of ANY, an accuracy scale of 100, and a total of 1 item occurrence, where the item name is "CT Reports", the key is "\\i2b2_REP\i2b2\Reports\CT Reports\", the icon is LAE, the class is ENC, and it is not a synonym. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Wilson, James, @14:48:58</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>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Wilson, James, MD</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Oncology\Wilson, James, MD\</item_key>
<item_icon>LA</item_icon>
<tooltip>i2b2 \ Providers \ Oncology \ Wilson, James, MD</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of the provider "Wilson, James, MD" in the Oncology department, regardless of the time frame, with a specificity scale of 0 and an accuracy scale of 100, and display the results in the first panel of the query builder with a high level (hlevel) of 3. The query should not be inverted, and only one item occurrence is required. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female--Diabete@22:17:58</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>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Female-Hyperte@17:44:04</item_name>
<item_key>masterid:332</item_key>
<tooltip>Female-Hyperte@17:44:04</tooltip>
<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</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>LA</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>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a history of hypertension and diagnosed with type II diabetes mellitus without mention of complications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female@15:19:14</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>40</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients in the database, regardless of their age or other demographic information, with a high level of specificity (1000%) and no inversion of the results. This query is set to run at any time and is part of the first panel in the analysis, which includes a total of 40 items. The query is based on the Demographics Gender Female element in the i2b2 data model. |
```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>Inpatient visit@14:35:06</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>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all inpatient visits with any timing and 100% accuracy, without inverting the results, and the query is named "Inpatient visit@14:35:06". |
```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>Alterna- 35-44@14:36:40</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>Alternative medicines</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME2) alternative medicines\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ alternative medicines</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 35 and 444 who have used alternative medicines. |
```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>Diabe-HTN [-Femal@22:21:28</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>6</hlevel>
<item_name>Diabetes mellitus type II</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>LA</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>
</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>HTN [Hypertension]</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential 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>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients who have been diagnosed with Type II Diabetes and Hypertension at any time, with a high level of specificity and accuracy, and have both conditions recorded in the system using the specified ICD codes. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@22:57:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who have been diagnosed with acute pancreatitis, are between the ages of 18 and 64, specifically including those who are 5, 6, 7, 8, or 9 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>Alternative med@14:37:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Alternative medicines</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME2) alternative medicines\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ alternative medicines</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where patients have used alternative medicines at any point in time, with a high level of specificity and accuracy, and without considering synonyms. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hormones@14:37:19</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>2</hlevel>
<item_name>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where the term "Hormones" appears in the medications section of the i2b2 database, specifically within the "Medications\MUL\(LME148) hormones" category, with a specificity scale of 0 and an accuracy scale of 100, and with a time range of "ANY". This query is part of a panel with panel number 1, and the panel timing is also set to "ANY. The query has a total of 1 item occurrence, and the item's hierarchy level is set to 2. The icon used for this item is "FA" and the class is "ENC". This query does not have synonyms associated with it. |
```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>Medicine@14:37:26</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>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have visited the Medicine department at any time for any reason, with a high level of specificity and accuracy, and with no synonyms considered, using the i2b2 query builder tool. |
```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>Hormone- 35-44@14:39:02</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>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been prescribed hormones and are between the ages of 35-44 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>Medicine@14:39:56</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>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</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 patients who have visited the "Medicine" department and have a diagnosis related to the "Circulatory System" with a principal diagnosis applied, and have had a "CARDIOLIPIN IGG" lab test result that is less than 10 gplu (global plasma units) within the specified timeframe. |
```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>Medicine@14:38:19</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>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</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 an encounter with a provider in the "Medicine" department at any time, with 1000% accuracy, and display the results in a panel with a specificity scale of 0 and no inversion, using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Medicine@14:41:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</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 patients who have been seen by a provider in the Medicine department and have a principal diagnosis related to the Circulatory system (ICD-9 codes 390-459) with a low Anticardiolipin IgG (LOINC:3181-5) lab result (less than 10 gplu). |
```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>Neurosurgery@14:49:09</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>2</hlevel>
<item_name>Neurosurgery</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Neurosurgery\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Neurosurgery</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where the term "Neurosurgery" appears in the "Providers" category within the i2b2 database, with a specificity scale of 0, accuracy scale of 100, and no inversion applied, with the query named "Neurosurgery@14:49:09" and the 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>Medicine@14:49:18</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>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</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 any encounter with a Medicine provider within the i2b2 database, with a specificity scale of 0 and accuracy scale of 100, and with no inversion applied. This query will search for patients who have been seen by a Medicine specialist in the i2b2 Providers domain. |
```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>Rheumatoid arth@14:23:25</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>5</hlevel>
<item_name>Rheumatoid arthritis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\Arthropathies (710-719)\(714) Rheumatoid arthritis and ot~\(714-0) Rheumatoid arthritis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue \ Arthropathies \ Rheumatoid arthritis and other inflammatory polyarthropathies \ Rheumatoid arthritis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a diagnosis of Rheumatoid arthritis in the Musculoskeletal and connective tissue category, specifically under the Arthropathies subcategory, and more specifically under the Rheumatoid arthritis and other inflammatory polyarthropathies sub-subcategory, using the i2b2 query builder tool with a specificity scale of 0 and a total item occurrence of 1. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Medicine@14:40:57</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>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have had a Medicine provider visit with a principal diagnosis related to the Circulatory system and have a CARDIOLIPIN IGG (LOINC:3181-5) lab result that is less than 10 gplu at any time. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Medicine@14:41:17</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>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have visited the Medicine department (specifically, providers within the i2b2 Providers domain) with a diagnosis related to the circulatory system (ICD-9 codes 390-459) as their principal diagnosis, and who have had a lab test result for Anticardiolipin IgG (ACLIg) with a value less than or equal to 10 gplu (grouped under the LOINC code 3181-5). |
```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>Inpatient visit@14:51:00</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>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of inpatient visits within the i2b2 database, regardless of time frame, with a specificity scale of 0, accuracy scale of 100, and a single item occurrence. The query is part of panel 1, with no inversion applied, and the item is classified as an ENC (encounter) with no synonyms applied. |
```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> 0-9-Vital-Alter@10:31:33</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> 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>
</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>Vital Status</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Vital Status</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>Alternative medicines</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME2) alternative medicines\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ alternative medicines</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 0-9 years old who have vital status and have used alternative medicines. |
```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>Labor-Femal-Medic@14:57:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Laboratory Tests</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests</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>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>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>1</hlevel>
<item_name>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients who have had laboratory tests and have taken medications 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>Medicine@14:43:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>CARDIOLIPIN IGG AB (LOINC:3181-5)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB7) Antiphospholipid Antibodies\ACLIgG\LOINC:3181-5\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Coagulation \ Antiphospholipid Antibodies \ Anticardiolipin IgG (Group:ACLIgG) \ CARDIOLIPIN IGG AB (LOINC:3181-5)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>gplu</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 patients who have been seen by a provider in the Medicine department and have a principal diagnosis related to the Circulatory system (ICD codes 390-459) with a CARDIOLIPIN IGG (LOINC:3181-5) lab result less than 10 gplu. |
```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>Hormone- 35-44@14:43:08</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>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have been prescribed hormones and are between the ages of 35 and 444 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> 0-9 years old@14:43:27</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> 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>
</panel>
</ns4:query_definition>
``` |
I want to find all patients aged 0-9 years old at any point in time with a specificity scale of 0 and an accuracy scale of 100, using the Demographics panel in the i2b2 query builder, with a class of ENC and no synonyms applied. |
```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>Visit at age >=@14:43:59</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>3</hlevel>
<item_name>Visit at age >= 85 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Visit Details \ Age at visit \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who have had a visit at age 85 years or older, with any timing, and with a specificity scale of 0, accuracy scale of 100, and panel number 1, considering the invert flag as 0, and the total number of items in the query is 1. This query will search for the "Age at visit" field in the "Visit Details" category and return results where the age is greater than or equal to 85 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> 0-9 y-Endocri@10:32:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 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>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Endocrine, nutritional and metabolic diseases (e00-e89)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 0-9 years old who have been diagnosed with any endocrine, nutritional or metabolic diseases (ICD10 code range E0-E89). |
```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@11:06:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>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>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
<date_to>1985-02-02T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all female patients with demographic information recorded between December 1, 1979 and February 2, 1985, with an accuracy of 1000%, and the query is not inverted. |
```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>Inpatient visit@14:44:24</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>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all inpatient visits within the specified time frame, with 100% accuracy and without inverting the results, using the "Visit Details" category and specifically looking at the "Visit Type" field where the value is "Inpatient 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> 10 days@14:44:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 10 days</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 10 days\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Length of stay \ 10 days</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 a length of stay of 10 days within any time period, with a specificity scale of 0, accuracy scale of 100, and panel timing set to ANY, and with the panel number and total item occurrences set to 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> 10 days@14:45:11</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> 10 days</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 10 days\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Length of stay \ 10 days</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find visits with a length of stay of 10 days or more, with no specific time constraints, using the "Visit Details" panel in the i2b2 query builder, with a specificity scale of 0 and an accuracy scale of 100. The query is named "10 days@14:45:11" and has a hierarchical level of 3. |
```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> 10 days@14:45:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 10 days</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 10 days\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Length of stay \ 10 days</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all visits where the length of stay was 10 days, with no specific timing requirements, and the panel is set to have a 100% accuracy scale, displaying the results in panel 1, and the query is not inverted. |
```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> 10 days@14:45:47</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> 10 days</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 10 days\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Length of stay \ 10 days</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all visits where the length of stay was 10 days, with a high level of specificity (1000%) and without any time constraints, using the i2b2 query builder. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Princip- 35-44@13:37:23</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>19 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\19 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 19 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>20 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\20 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 20 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>21 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 21 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>22 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\22 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 22 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>23 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\23 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 23 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>24 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\24 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 24 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>25 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\25 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 25 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>26 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\26 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 26 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>27 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\27 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 27 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>28 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\28 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 28 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>29 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\29 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 29 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>30 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\30 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 30 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>31 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\31 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 31 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>32 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\32 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 32 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>33 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\33 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 33 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\34 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients between the ages of 18 and 34 years old in the Demographics category of 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-Certain@10:33:25</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>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>1</hlevel>
<item_name>Certain infectious and parasitic diseases (a00-b99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with certain infectious and parasitic diseases (ICD10 codes A0-B9) along with their gender demographics. |
```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>Circulatory sys@14:46:30</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>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all diagnoses related to the Circulatory System (ICD-9 codes 390-459) with a specificity scale of 0, accuracy scale of 100, and any timing, and display it on the first panel with no inversion. |
```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@14:47:09</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>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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal 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>
</ns4:query_definition>
``` |
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) that have been designated as the principal diagnosis at any time in the patient's record, with a specificity scale of 0, accuracy scale of 100, and no inversion applied. |
```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>Hormone- 35-44@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>2</hlevel>
<item_name>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where a patient between the ages of 35 and 444 years old has been prescribed hormone medications. |
```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>Hormone- 35-44@11:21:03</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>2</hlevel>
<item_name>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have taken hormone medications and are between the ages of 35-44 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> 18-34 years o@23:09:14</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>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>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia NOS</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are 18-34 years old, 35-4 years old, 45-54 years old, 55-64 years old, 65-74 years old, or 75-84 years old and have been diagnosed with hyperlipidemia NOS, and have been prescribed HMG-CoA reductase inhibitors medications. |
```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>Circulatory sys@07:48:21</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)Circulatory sys@07:33:01</item_name>
<item_key>masterid:2608</item_key>
<tooltip>Circulatory sys@07:33:01</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find any patient encounter data related to the circulatory system within the i2b2 database, with a specificity scale of 0 and an accuracy scale of 100, using the panel named "Circulatory sys@07:48:21" which includes a single item with the key "masterid:2608" and the name "Circulatory sys@07:33:01". This query is not a synonym and has no time restrictions. |
```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>Medicine@14:49:24</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>Medicine</item_name>
<item_key>\\i2b2_PROV\i2b2\Providers\Medicine\</item_key>
<item_icon>FA</item_icon>
<tooltip>i2b2 \ Providers \ Medicine</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of the term "Medicine" in the i2b2 Providers category, with any timing, using a specificity scale of 0, accuracy scale of 100, and a single item occurrence. The query should be structured as panel 1 with no inversion and the class set as ENC. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name> 2 days@14:50:26</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> 2 days</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 2 days\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Length of stay \ 2 days</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all visits with a length of stay of 2 days, with no specific timeframe specified, and I want the query to have a specificity scale of 0, an accuracy scale of 100, and a single panel with the item being a visit detail, with the item key being "i2b2_VISIT\i2b2\Visit Details\Length of stay\ 2 days". The item should be of the ENC class and not a synonym. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hormone- 35-44@11:28:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Hormones</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ hormones</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>
</panel>
</ns4:query_definition>
``` |
I want to find all instances where a patient aged 35-44 years old has been prescribed hormones as medication in the i2b2 database. |
```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@23:12:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>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>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<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 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>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with hypertensive disease and type II diabetes mellitus, specifically those with hyperosmolarity and unspecified control status, within a specific time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Principal Diagn@23:04:07</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>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>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with a principal diagnosis related to musculoskeletal and connective tissue disorders (ICD codes 710-739) in the i2b2 database, regardless of the time frame. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) DiagnosesCholesterol (GrEndocrine disor@11:05:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>ENDDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>LAST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>9</span_value>
<units>DAY</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>EQ</value_operator>
<value_constraint>L</value_constraint>
<value_type>FLAG</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>5.7</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>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of endocrine disorders (ICD-9-CM codes 240-259) and a cholesterol level greater than or equal to 240 mg/dL (from the LOINC code LLB16) and a hemoglobin A1C level greater than or equal to 5.7% (from the LOINC code LOINC:4578-6) in the same encounter. Additionally, I want to find patients with a diagnosis of endocrine disorders (ICD-9-CM codes 240-259) and a urine analysis color result of L (from the LOINC code LOINC:578-6) in the same encounter. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) Admit DiagnosisRoute@11:11:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Route</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Route\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('topical')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all instances where a patient had a circulatory system diagnosis as their admit diagnosis (Admit Diagnosis) and was given a medication with a topical route of administration during the same instance number. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) Patient InstrucRoute@11:12:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Beta-adrenergic blocking agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Patient Instructions</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>by mouth</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Route</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Route\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('PO')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients who have been prescribed beta-adrenergic blocking agents orally (by mouth) and had a medication event that occurred before any other medication event with a route of administration as 'PO' (by mouth). |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) DoseHypertensive di@11:13:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Dose</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key>
<applied_path>\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</value_constraint>
<value_unit_of_measure>mg</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients who have a first-time encounter with a diagnosis of hypertensive disease (ICD-9 codes 401-405) and were prescribed a dose of acebutolol (a beta-blocker medication) that is less than 1000 mg at the same instance number. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) Hypertensive diDose@11:13:57</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Dose</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key>
<applied_path>\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</value_constraint>
<value_unit_of_measure>mg</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with a diagnosis of Hypertensive disease who were prescribed Acebutol at a dose less than 1000 mg during the same encounter. |
Subsets and Splits