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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>Newborn affecte@17:33:58</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>2</hlevel> <item_name>Newborn affected by maternal factors and by complications of pregnancy, labor, and delivery (p00-p04)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\(P00-P04) Newb~u6oq\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96) \ Newborn affected by maternal factors and by complications of pregnancy, labor, and delivery (p00-p04)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find newborns affected by maternal factors and complications of pregnancy, labor, and delivery (ICD10 codes P00-P04) within the i2b2 query builder system, with a specificity scale of 0, accuracy scale of 100, and any timing.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living@18:12:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are currently living, based on their vital status recorded in the i2b2 Demographics module, specifically in the "Living" category, 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>Admit-Princ-Secon@22:48:33</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>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>2020-03-01T00:00:00.000-05:00</date_from> </constrain_by_date> <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> <item> <hlevel>4</hlevel> <item_name>Accessory breast</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(757) Congenital anomalies of the~\(757-6) Specified congenital anom~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Congenital anomalies of the integument \ Specified congenital anomalies of breast</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary 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 patients who have been admitted to the hospital with a diagnosis related to the circulatory system (ICD-9 codes 390-459) as either their primary diagnosis or secondary diagnosis, and who also have a congenital anomaly of the breast (ICD-9 code 757.6) as one of their diagnoses, within the specified date range of March 1, 202020 onwards.
```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>Certain conditi@17:37:07</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>1</hlevel> <item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with certain conditions that originated in the perinatal period (from conception to 6 days after birth) as diagnosed by ICD-10 or ICD-9 codes in the range of P0-P96, with a specificity scale of 0 and an accuracy scale of 100, and display the results on the first panel with no inversion of the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 75-84-Female@09:35:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <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> 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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>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 aged 75-84 years old with any demographic information.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Diabete@16:28:40</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>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>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 18-34, 35-44, 45-54, 555-64, 65-74, and 75-84, as well as those 85 years and older, who have been diagnosed with diabetes mellitus (ICD-9 codes E08-E13).
```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>Type 2 -Coronav@16:33:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Type 2 diabetes mellitus without complications</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\(E11.9) Type 2~2d9f\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus \ Type 2 diabetes mellitus without complications</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>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients diagnosed with Type 2 diabetes mellitus without complications and those with Coronavirus infection, unspecified within the specified time frame, with a specificity scale of 0 and accuracy scale of 100 for each panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cli-End-Gen-Inc@20:56:18</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>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</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>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <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>2</hlevel> <item_name>Income</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Income\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Income</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a Clinical Dementia Rating (CDR) who have been diagnosed with Endocrine disorders, grouped by their gender and income level, with no specific timing or accuracy requirements.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 75-84-Female@09:56:17</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>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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>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 between the ages of 75 and 84 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>PATIENTSET@16:52:45</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>0</hlevel> <item_name>Patient Set for "Female@11:25:21" - FINISHEDPatient list</item_name> <item_key>patient_set_coll_id:999</item_key> <tooltip>Patient Set for "Female@11:25:21" - FINISHEDPatient list</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find a patient set for "Female@1:25:21" that is a finished patient list with any timing and 100% accuracy scale, using the specificity scale of 0 and with a total of 1 item occurrence, where the item name is "Patient Set for "Female@1:25:21" - FINISHEDPatient list" and the item key is "patient_set_coll_id:99".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circula-Diabete@22:19:45</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>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with diagnoses related to the circulatory system and endocrine disorders, specifically those with diabetes mellitus, 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> 10-17-Acute u@13:19:58</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> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <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>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 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>Acute upper respiratory infections of multiple or unspecified sites</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\(465) Acute upper respiratory inf~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Acute respiratory infections \ Acute upper respiratory infections of multiple or unspecified sites</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 10-17, 18-34, 35-44, 5-64, and 65-74 years old with a diagnosis of acute upper respiratory infections of multiple or unspecified sites.
```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>Clini-Endoc-Neuro@20:58:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</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>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a Clinical Dementia Rating (CDR) assessment, who have been diagnosed with Endocrine disorders or Neurologic Disorders, within any time frame, with a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit Diagnosis@22:16:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) that were recorded as the patient's admit diagnosis, with a specificity scale of 0 and a panel accuracy scale of 100, within any time frame. The query will be named "Admit Diagnosis@222:16:13" and will not include 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>Circula-Diabete@22:19:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find diagnoses related to the circulatory system (ICD-9 codes 390-459) and specifically those related to diabetes mellitus (ICD-9 code 250) within the Endocrine disorders category (ICD-9 codes 240-259) for any time period with 100% accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>18 year-Admit D@16:31:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>18 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\18 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 18 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>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>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>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> <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>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_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 34 and have a mental disorder diagnosis, specifically those with an age of 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, or 334 years old, and who have a diagnosis code in the range of 290-319, which are mental disorders. This query is looking for patients within a specific age range and with a specific type of 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>Type 2 -Coronav@16:33:07</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>4</hlevel> <item_name>Type 2 diabetes mellitus without complications</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\(E11) Type 2 d~5ycb\(E11.9) Type 2~2d9f\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13) \ Type 2 diabetes mellitus \ Type 2 diabetes mellitus without complications</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>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients diagnosed with Type 2 diabetes mellitus without complications and those with Coronavirus infection, unspecified within the specified time frame (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>&gt;= 65 y-Admit D@16:36:33</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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>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>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older with a respiratory system diagnosis as their admit diagnosis, excluding those aged 5-64 and 45-54 years old, and considering only the accuracy of the information at the highest level.
```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>Admit Diagnosis@22:16:59</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>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> </ns4:query_definition> ```
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) that were recorded as the admit diagnosis for any patient at any time, with a specificity scale of 0 and a panel accuracy scale of 100, and the query will be named "Admit Diagnosis@222:16:59".
```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-Acute u@13:19:12</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> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <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>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 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>Acute upper respiratory infections of multiple or unspecified sites</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Acute respiratory infections (460-466)\(465) Acute upper respiratory inf~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Acute respiratory infections \ Acute upper respiratory infections of multiple or unspecified sites</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 10-17, 18-34, 35-44, 5-64, or 65-74 years old who have been diagnosed with acute upper respiratory infections of multiple or unspecified sites, with a high level of specificity and accuracy, including 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>Malignant neopl@10:04:44</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>4</hlevel> <item_name>Malignant neoplasm of breast (c50)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\(C00-C96) Mali~yqqr\(C00-C75) Mali~lbm0\(C50-C50) Mali~q8ki\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms (c00-d49) \ Malignant neoplasms (c00-c96) \ Malignant neoplasms, stated or presumed to be primary (of specified sites), and certain specified histologies, except neuroendocrine, and of lymphoid, hematopoietic and related tissue (c00-c75) \ Malignant neoplasm of breast (c50)</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 malignant neoplasm of the breast (ICD-10 code C50) within the specified timeframe. This query is designed to identify cases of malignant breast cancer using the ICD-10 coding system, with a high level of specificity and no inversion applied. The panel is focused on neoplasms, specifically malignant neoplasms that are stated or presumed to be primary, and the class is set as ENC (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>&gt;= 65 y-Admit D@16:58:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older with a diagnosis related to the respiratory system, specifically those who were admitted with a respiratory system diagnosis as their primary diagnosis. I also want to exclude patients between the ages of 18 and 64 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>&gt;= 65 y-Admit D@16:59:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older admitted to the hospital with a diagnosis related to the respiratory system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circulatory sys@14:21:52</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>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) within the specified time frame (ANY), with a specificity scale of 0, and a panel accuracy scale of 100, using the i2b2 query builder. The panel will have one item, which will be a category titled "Circulatory system" with the icon FA, and it will not be considered a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living@18:13:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are currently living, according to their vital status in the i2b2 Demographics module, 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>&gt;= 65 y-Admit D@17:03:28</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older admitted to the hospital with a respiratory 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>Biologicals@13:04:15</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Biologicals</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME63) biologicals\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ biologicals</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of biological medications mentioned in the i2b2 database, regardless of when they were recorded, with a high level of accuracy, and using the specific category "Biologicals" under the "Medications" section.
```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>Admit D-Seconda@12:21:18</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>Symptoms, signs, and ill-defined conditions</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </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>Symptoms, signs, and ill-defined conditions</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have a primary diagnosis of symptoms, signs, and ill-defined conditions (ICD-9 codes 780-79) and also have a secondary diagnosis of symptoms, signs, and ill-defined conditions (ICD-9 codes 780-79) 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>Length of stay@18:14:57</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>Length of stay</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Length of stay</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find the length of stay for a patient during any visit at any time, with a high level of specificity and accuracy, and display it on the first panel of the analysis, using the "Visit Details" category and "Length of Stay" element.
```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-Essen- 7 d@18:19:39</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 7 days</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\ 7 days\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Length of stay \ 7 days</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 Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) who have had a length of stay of 7 days or more.
```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>Diabete-Essenti@18:22:40</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of diabetes mellitus (ICD codes E08-E13) and essential (primary) hypertension (ICD codes I10) within the Endocrine, nutritional and metabolic diseases (E00-E89) and Diseases of the circulatory system (I0-I9) categories, respectively, with no specific timing or accuracy scale requirements for each panel, and without inverting the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe-Essen-PATIE@18:25:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) with a specificity scale of 0 and any timing, and include a specific patient with the ID PATIENT:HIVE:100000045. The accuracy scale for both panels is set to 100 and the query is named "Diabe-Essen-PATIE@18:25:32."
```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>Coronav-&gt;= 65 y@16:34:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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 diagnosed with Coronavirus infection, unspecified, and are aged 65 years or older. This query will search for individuals with the specific ICD-10 code B34.2 (Coronavirus infection, unspecified) and demographic information indicating they are 65 years or older, using the i2b2 query builder with a specificity scale of 0 and a panel accuracy scale of 100. The timing is set to ANY, meaning it includes any time frame, and the query will return results that meet both criteria.
```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>&gt;= 65 y-Admit D@16:35:31</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older and have a respiratory system diagnosis as their admit 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>Length of stay@18:15:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Length of stay</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Length of stay</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find the length of stay for any patient visit with a specificity scale of 0 and an accuracy scale of 100, where the query timing is set to ANY and the panel timing is also ANY, and the item is located under the Visit Details section with the key \i2b2_VISIT\i2b2\Visit Details\Length of stay\.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@18:17:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) in the Endocrine, nutritional and metabolic diseases (e0-e89) and Diseases of the circulatory system (i0-i9) categories, respectively, with no specificity scale and any timing, and with a panel accuracy scale of 100 and 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>Certain-Gender@15:28:57</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>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> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of diagnoses related to certain infectious and parasitic diseases (ICD codes A0-B9) and their association with 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>Coronav-&gt;= 65 y@16:34:58</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>4</hlevel> <item_name>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 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 with a diagnosis of Coronavirus infection, unspecified, who are 65 years old or older, and compare them to patients aged 5-64 years old, 45-54 years old, and 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>Diabe-Essen-Livin@18:18:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of diabetes mellitus (ICD codes E08-E13), essential (primary) hypertension (ICD codes I10), and who are currently living, 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@12:21:07</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>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all encounters with a diagnosis of acute pancreatitis in the digestive system, where the patient is between the ages of 18 and 64 years old, and is currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>GI stim-Laxativ@10:33:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>GI stimulants</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME136) gastrointestinal agents\(LME143) GI stimulants\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ gastrointestinal agents \ gi stimulants</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>Laxatives</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME136) gastrointestinal agents\(LME145) laxatives\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ gastrointestinal agents \ laxatives</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have ever been prescribed medications from the "GI stimulants" category and the "Laxatives" category within the "Gastrointestinal agents" class in the i2b2 medication 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>&gt;= 65 y-Admit D@16:36:03</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older admitted to the hospital with a respiratory system diagnosis as their primary 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>&gt;= 65 y-Admit D@16:36:58</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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>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>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older with a respiratory system diagnosis as their admit diagnosis, excluding those aged 5-64 and 45-54 years old, in any time period, with a specificity scale of 0, accuracy scale of 100, and panel timing set to "ANY". The query will search for demographic information related to age and diagnosis information related to the respiratory system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>&gt;= 65 y-Admit D@16:38:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older with any diagnoses related to the respiratory system, including conditions such as asthma, bronchitis, pneumonia, or COPD, that were present at the time of their admission to the hospital.
```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>&gt;= 65 y-Admit D@16:57:11</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years old or older and have a respiratory system diagnosis as their admit 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>Admit-Princ-Secon@22:48:50</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>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>2020-03-01T00:00:00.000-05:00</date_from> </constrain_by_date> <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> <item> <hlevel>4</hlevel> <item_name>Accessory breast</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(757) Congenital anomalies of the~\(757-6) Specified congenital anom~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Congenital anomalies of the integument \ Specified congenital anomalies of breast</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Secondary 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 patients with diagnoses related to the Circulatory system (ICD-9 codes 390-459) who have been admitted to the hospital, with either the Circulatory system diagnosis as their principal or secondary diagnosis, within the specified date range of March 1, 202020, using the Admit Diagnosis or Principal/Secondary Diagnosis modifiers. Additionally, I want to include patients with a specific congenital anomaly of the breast (ICD-9 code 757.6) in the analysis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>&gt;= 65 y-Admit D@16:38:36</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years old or older and have a respiratory system diagnosis as their admit diagnosis, excluding those who are 5-64 years old, 45-54 years old, or 18-34 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>&gt;= 65 y-Admit D@16:57:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years old or older with a respiratory system diagnosis as their admit diagnosis, and I want to include age groups of 5-64 years old, 45-54 years old, 35-44 years old, and 18-34 years old for comparison.
```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>&gt;= 65 y-Admit D@16:58:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older with a respiratory system diagnosis (ICD code 460-519) recorded as an admission diagnosis, grouped by age ranges of 65+, 555-64, 45-54, and 18-34 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>&gt;= 65 y-Admit D@16:58:56</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>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years or older admitted with a diagnosis related to the respiratory system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Sheph-Sheph-Sheph@15:43:20</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>Shepherd, Derek. MD</item_name> <item_key>\\i2b2_PROV\i2b2\Providers\Neurosurgery\Shepherd, Derek. MD\</item_key> <item_icon>LA</item_icon> <tooltip>i2b2 \ Providers \ Neurosurgery \ Shepherd, Derek. MD</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>Shepherd, Derek. MD</item_name> <item_key>\\i2b2_PROV\i2b2\Providers\Neurosurgery\Shepherd, Derek. MD\</item_key> <item_icon>LA</item_icon> <tooltip>i2b2 \ Providers \ Neurosurgery \ Shepherd, Derek. MD</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>Shepherd, Derek. MD</item_name> <item_key>\\i2b2_PROV\i2b2\Providers\Neurosurgery\Shepherd, Derek. MD\</item_key> <item_icon>LA</item_icon> <tooltip>i2b2 \ Providers \ Neurosurgery \ Shepherd, Derek. 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 "Shepherd, Derek. MD" within the i2b2 database, specifically within the "Providers" category in the "Neurosurgery" section, using the query builder. This query is looking for any occurrences of this provider's name, with a specificity scale of 0, and a panel accuracy scale of 100. The query is spread across three panels, with one occurrence in each panel. The provider's key is identified as "\\i2b2_PROV\i2b2\Providers\Neurosurgery\Shepherd, Derek. MD" and the tooltip displays "i2b2 \ Providers \ Neurosurgery \ Shepherd, Derek. MD". The class of the query 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>Infections spec@11:36:41</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>0</hlevel> <item_name>(PrevQuery)Infections spec@17:32:09</item_name> <item_key>masterid:2315</item_key> <tooltip>Infections spec@17:32:09</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of infections that have been specified in the medical record, with a specificity scale of 0 and a panel accuracy scale of 100, and have occurred at any time. The query will be named "Infections spec@1:36:41" and is a part of panel 1, which has an accuracy scale of 100 and is not inverted. The query will include a single item, which is a synonym of the "Infections spec@7:32:09" query with a hierarchy level of 0 and a key of "masterid:235". The tooltip for this item will be "Infections spec@7:32:09".
```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>Immunologic age@13:05:39</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>Immunologic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME169) immunologic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ immunologic agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find any patient who has ever taken immunologic agents as medication, with a specificity scale of 0, a total occurrence of 1, and an accuracy scale of 100, within a time frame of 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>Male@06:08:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all male patients in the database, regardless of any specific time or accuracy constraints, with a high specificity level, and using the Demographics - Gender - Male concept from the i2b2 ontology.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@06:09:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all male patients in the i2b2 dataset with any timing and 100% accuracy scale, using the "Demographics" panel with the "Gender" item set to "Male".
```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>Screen (LOINC:X@16:44:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Screen (LOINC:X3012-1)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB10) Inhibitors\INHIBSCR\LOINC:X3012-1\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Coagulation \ Inhibitors \ Inhibitors Screen (Group:INHIBSCR) \ Screen (LOINC:X3012-1)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('NEG')</value_constraint> <value_type>TEXT</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 had an Inhibitors Screen (LOINC:X3012-1) test performed with a negative result, within any time frame, with a specificity scale of 0 and a panel accuracy scale of 100, and the query 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>Coronavirus inf@16:29:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Coronavirus infection, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B25-B34) Othe~mcam\(B34) Viral in~t8uh\(B34.2) Corona~3546\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Other viral diseases (b25-b34) \ Viral infection of unspecified site \ Coronavirus infection, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all cases of Coronavirus infection, unspecified, regardless of timing, with a specificity scale of 0 and an accuracy scale of 100, focusing on the ICD10 code B34.2 for Viral infection of unspecified site and the ICD9 code for Coronavirus infection, unspecified, within a single panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Screen (LOINC:X@16:44:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Screen (LOINC:X3012-1)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB10) Inhibitors\INHIBSCR\LOINC:X3012-1\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Coagulation \ Inhibitors \ Inhibitors Screen (Group:INHIBSCR) \ Screen (LOINC:X3012-1)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>IN</value_operator> <value_constraint>('NEG')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>VWF Prtease Act Inhib (LOINC:34590-0)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB6) Coagulation\(LLB10) Inhibitors\VWFINHIB\LOINC:34590-0\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Coagulation \ Inhibitors \ VWF Protease Inhibitor (Group:VWFINHIB) \ VWF Prtease Act Inhib (LOINC:34590-0)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>EQ</value_operator> <value_constraint>H</value_constraint> <value_type>FLAG</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have had an Inhibitors Screen (LOINC:X3012-1) test with a result of 'NEG' and a VWF Protease Act Inhib (LOINC:34590-0) test with a value of 'H' in their medical records.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@03:39:56</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>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of Diabetes Mellitus, using the i2b2 query builder with the specificity scale set to 0, panel accuracy scale set to 100, and the panel timing set to ANY, with the condition being part of the Endocrine disorders category under Other endocrine gland diseases, with the item key being \i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) 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>Influenza@03:43:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Influenza</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Pneumonia and influenza (480-487)\(487) Influenza\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Pneumonia and influenza \ Influenza</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of diagnoses related to influenza in the respiratory system, specifically within the category of pneumonia and influenza, using the ICD-9-CM code 487 (Influenza), with any level of specificity and timing.
```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>Influenza with @03:44:57</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>5</hlevel> <item_name>Influenza with other respiratory manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Pneumonia and influenza (480-487)\(487) Influenza\(487-1) Influenza with other resp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Pneumonia and influenza \ Influenza \ Influenza with other respiratory manifestations</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Influenza with other respiratory manifestations at any time during their medical history, with a high level of specificity (5) and accuracy (1000%), and the query will be named "Influenza with @03:44:57".
```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>Ohio@23:42:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ohio</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\Ohio\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Zip codes \ Ohio</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1990-12-01T00:00:00.000-05:00</date_from> <date_to>2020-06-02T00:00:00.000-05:00</date_to> </constrain_by_date> <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> <constrain_by_date> <date_from>1990-12-01T00:00:00.000-05:00</date_from> <date_to>2020-06-02T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Congenital anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies</tooltip> <class>ENC</class> <constrain_by_date> <date_from>1990-12-01T00:00:00.000-05:00</date_from> <date_to>2020-06-02T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with congenital anomalies who are male and reside in Ohio, with no specific time constraint for the query.
```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>Essential (prim@11:05:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 code I10) and those with diabetes mellitus (ICD10-ICD9 code E08-E13) in the study population, with any timing and 100% panel accuracy scale, and the specificity scale set to 0. The query is named "Essential (primary) hypertension".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@11:06:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of Diabetes mellitus (ICD codes E08-E13) in the Endocrine, Nutritional and Metabolic Diseases category (ICD codes E00-E89) 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>Diabete-Essenti@11:08:49</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 code E08-E13) and Essential (primary) hypertension (ICD9 code I10) at any time in their medical history, with a high level of specificity and accuracy, 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>Diabete-Essenti@11:09:47</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 codes E08-E13) and Essential (primary) hypertension (ICD10 codes I10) within the specified timeframe (ANY). The query has a specificity scale of 0 and an accuracy scale of 100 for each panel, indicating a high level of accuracy and relevance. The query will include two panels, one for each condition, and will not be inverted. The total number of items in each panel is 1, focusing on the specific diagnoses mentioned.
```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>Race@19:28:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Race</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Race</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with any recorded race in the demographics section of their medical records.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabete-Essenti@11:07:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of diabetes mellitus (ICD10 code E08-E13) and essential (primary) hypertension (ICD9 code I10) with any timing and 100% accuracy scale, considering all encounters.
```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>Diabete-Essenti@11:10:50</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Diabetes mellitus (ICD10 code range E08-E13) and Essential (primary) hypertension (ICD10 code I10) in their medical records, with no specific time frame or accuracy scale applied, and the results should include both endocrine and circulatory system diseases.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@11:15:26</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Essential (primary) hypertension (ICD-10 code I10) and Diabetes mellitus (ICD-10 code E08-E13) at any time in their medical history, with a high level of specificity (100), and without inverting the results. The query will include two panels: the first panel focuses on essential hypertension, while the second panel focuses on diabetes mellitus. The query will return a total of one occurrence for each item within each panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe-Essen-Injec@18:21:08</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>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Injection of insulin</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(87-99) Diagnostic and nonsurgical procedures\(p99) Other nonoperative procedur~\(p99-1) Injection or infusion of ~\(p99-17) Injection of insulin\</item_key> <item_icon>LA</item_icon> <tooltip>Procedures \ ... \ Diagnostic and nonsurgical procedures \ Other nonoperative procedures \ Injection or infusion of therapeutic or prophylactic substance \ Injection of insulin</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Diabetes mellitus (e08-e13), Essential (primary) hypertension, and have received Injection of insulin as a procedure. The query should search for these conditions at any time and have a high accuracy scale of 100 for each panel. The results should include patients with Diabetes mellitus (e08-e13) from the Endocrine, nutritional and metabolic diseases category (e0-e89), Essential (primary) hypertension from the Hypertensive diseases category (i10-i15), and Injection of insulin from the ICD9 (Inpatient) Procedures category (p9-1).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@11:14:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus in any time frame, with a specificity scale of 0, accuracy scale of 100, and no inversion, grouped into two panels: one for essential (primary) hypertension and another for diabetes mellitus. The first panel will include essential (primary) hypertension from the ICD10_ICD9 diagnoses, specifically from the range I10-I15, and the second panel will include diabetes mellitus from the ICD10_ICD9 diagnoses, specifically from the range E08-E13.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@11:15:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of Essential (primary) hypertension and Diabetes mellitus (e08-e13) using the ICD10_ICD9 classification system, with any timing and a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@11:15:47</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus using the ICD-10 and ICD-9 coding systems, specifically focusing on the diagnoses of diseases of the circulatory system (i0-i9) and endocrine, nutritional, and metabolic diseases (e0-e89), with no specific time frame and 100% accuracy scale for each panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Clini-Endoc-Gende@20:50:21</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>3</hlevel> <item_name>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</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>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a Clinical Dementia Rating (CDR) measurement, who have been diagnosed with an endocrine disorder, and have their gender recorded in the system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circula-Diabete@16:31:58</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>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with diagnoses related to the circulatory system (ICD codes 390-459) who also have a diagnosis of diabetes mellitus (ICD code 250). The search should include all encounters (ANY timing) and have a specificity scale of 0, meaning it will return all possible matches. The panel accuracy scale is set to 100, indicating a high level of confidence in the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Beyon-55 ye-Metab@17:04:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Beyond college</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\Beyond college\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Demographics \ Education \ Beyond college</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>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>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>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>Metabolic and immunity disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have completed education beyond college, are 5 years old, and have a diagnosis related to metabolic and immunity 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>Obesi-Hemat- 65-@17:06:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Obesity and other hyperalimentation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hematologic diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Hematologic diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Obesity and other hyperalimentation (ICD code 278), have Hematologic diseases (ICD code 280-289), and are between the ages of 65 and 74 years old. The query should be applied to any time period and should have a high level of accuracy (1000%).
```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>Endoc-Neuro-Marit@17:09:06</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>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> <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>Marital Status</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Marital Status</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with endocrine disorders, neurologic disorders, and their marital status information 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>Diabete-Essenti@18:26:31</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>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of Diabetes mellitus (e08-e13) and Essential (primary) hypertension (i10) in the ICD10_ICD9 coding system, with any timing and 100% accuracy scale, within a panel that includes 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>Diabetes mellit@03:39:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of Diabetes Mellitus, with any specificity and time frame, using the Endocrine disorders category under the ICD-9 coding system, with a high accuracy scale of 100, and only one item occurrence.
```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>Influenza@03:43:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Influenza</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Pneumonia and influenza (480-487)\(487) Influenza\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Pneumonia and influenza \ Influenza</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of patients diagnosed with Influenza in the i2b2 database, regardless of the time frame, with a specificity scale of 0, and a panel accuracy scale of 100, using the code (487) Influenza within the Respiratory system > Pneumonia and influenza > Influenza 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>Diabe-Essen-Insul@18:27:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Insulin</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\(LME150) antidiabetic agents\(LME152) insulin\insulin\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones \ antidiabetic agents \ insulin \ insulin</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 diabetes mellitus (ICD10-ICD9 codes E08-E13), essential (primary) hypertension (ICD10-ICD9 codes I10), and who have been prescribed insulin (LME152 insulin) medication, at any point in time.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circula-Chemist@10:50:49</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>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>Congenital anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies</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>Chemistry</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Chemistry</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with diagnoses related to the circulatory system (ICD codes 390-459) or congenital anomalies (ICD codes 740-759) and who have had chemistry lab tests (LLB6) performed.
```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>Admit D-Patient@10:11:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>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>Patient Instructions</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key> <applied_path>\i2b2\Medications\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have a diagnosis related to the circulatory system (ICD-9 codes 390-459) as their primary diagnosis upon admission and have at least one medication recorded 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>Systemic lupus @16:12:47</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>Systemic lupus erythematosus (sle)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(M00-M99) Dise~6mvn\(M30-M36) Syst~csr9\(M32) Systemic~v244\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the musculoskeletal system and connective tissue (m00-m99) \ Systemic connective tissue disorders (m30-m36) \ Systemic lupus erythematosus (sle)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have been diagnosed with Systemic Lupus Erythematosus (SLE) at any time, using the specific ICD-9 code (M32) for Systemic Connective Tissue Disorders, within the category of Diseases of the Musculoskeletal System and Connective Tissue (M0-M9). This query has a specificity scale of 0, meaning it is not restricted to a specific time frame or accuracy level, and the panel's total item occurrences are set to 1. The query is not inverted and has a specificity scale of 100, indicating a high level of confidence in the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@03:46:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of diabetes mellitus, regardless of when it was recorded, and have a specificity scale of 0, panel timing set to ANY, and a panel accuracy scale of 100, with the panel inverted to 0, and only one item occurrence required, with the item being classified as ENC (Encounter) and not a synonym, 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>mild -very - 55-@17:03:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>very mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\very mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ very mild dementia</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> 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> </ns4:query_definition> ```
I want to find patients with mild dementia who are between the ages of 5-64 years old, excluding those with very mild dementia. The search will be performed on any timeframe, with a specificity scale of 0 and an accuracy scale of 100 for each panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild -very - 55-@17:03:34</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>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>moderate dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>very mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\very mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ very mild dementia</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> 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> </ns4:query_definition> ```
I want to find patients with mild or moderate dementia who are between the ages of 5 and 64 years old, excluding those with very mild dementia.
```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>Obesi-Hemat- 65-@17:07:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Obesity and other hyperalimentation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hematologic diseases</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Hematologic diseases</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 65-74 years old with diagnoses of obesity and other hyperalimentation as well as hematologic diseases, with no specific time frame requirement and a high accuracy scale.
```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>Clinica-Demogra@16:57:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Clinical Measures</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Demographics</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all clinical measures and demographic information from the oasis database within the BIRN repository, with no specific time frame and high accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Admit D-Princip@15:43:25</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>Respiratory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <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> </ns4:query_definition> ```
I want to find all patients who have a principal diagnosis of a neurologic disorder (ICD codes 32-389) and also have a respiratory system diagnosis (ICD codes 46-519) as an admission 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>Cli-End-Gen-Rac@20:57:18</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>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</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>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> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <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>2</hlevel> <item_name>Race</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Race</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find subjects with a Clinical Dementia Rating (CDR) score from the OASIS Clinical Measures, who have been diagnosed with any Endocrine disorders (ICD codes 240-259), grouped by gender and race, without any specific time constraint.
```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>Clinica-Endocri@20:58:03</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>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</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>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 all instances where a patient has been diagnosed with an endocrine disorder (diagnosis code 240-259) and has had a Clinical Dementia Rating (CDR) assessment performed. The search should be performed across all time periods and with a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cocaine-Impoten@11:31:28</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>4</hlevel> <item_name>Cocaine (Schedule I substance)</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME189) illicit (street) drugs\cocaine (Schedule I substance)\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ illicit (street) drugs \ cocaine (schedule i substance)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Pyridostigmine</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME184) cholinergic muscle stimulants\pyridostigmine\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ cholinergic muscle stimulants \ pyridostigmine</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>Impotence agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME190) impotence agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ impotence agents</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 Cocaine (Schedule I substance) and/or Pyridostigmine, as well as those who have been prescribed Impotence agents, at any time in their medical history. The specificity scale is set to 0, meaning that the query will return all records that contain any of the specified items, regardless of the number of occurrences. The accuracy scale for each panel is set to 10, indicating that all items within the panel must be present for the record to be included in the results. The panel timing is set to ANY, meaning that the items can occur at any point in time. The class of the items is ENC, which stands for "Encounter", and the items are not synonyms. This query is designed to identify individuals who have been prescribed Cocaine or Pyridostigmine, and have also been prescribed Impotence agents.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Vital@00:40:37</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <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>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> </ns4:query_definition> ```
I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9: I10) and diabetes mellitus (ICD10-ICD9: E08-E13), with any timing, and their vital status (demographics), with a specificity scale of 0 and an accuracy scale of 100.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Vital@00:41:12</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>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <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>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> </ns4:query_definition> ```
I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 codes I10-I15), diabetes mellitus (ICD10-ICD9 codes E08-E13), and vital status information. The search will include any time frame and has a specificity scale of 0 and an accuracy scale of 100 for each panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cocaine-Impoten@11:30:48</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>Cocaine (Schedule I substance)</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME189) illicit (street) drugs\cocaine (Schedule I substance)\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ illicit (street) drugs \ cocaine (schedule i substance)</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>Impotence agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME190) impotence agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ impotence agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have been prescribed Cocaine (Schedule I substance) and Impotence agents in their medication history.
```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>Cocaine-Impoten@11:30:59</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>4</hlevel> <item_name>Cocaine (Schedule I substance)</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME189) illicit (street) drugs\cocaine (Schedule I substance)\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ illicit (street) drugs \ cocaine (schedule i substance)</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>Impotence agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME178) miscellaneous agents\(LME190) impotence agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ miscellaneous agents \ impotence agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have been prescribed Cocaine (Schedule I substance) and Impotence agents in their medication history.
```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>Clinical Dement@21:01:42</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>Clinical Dementia Rating (CDR)</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances where the Clinical Dementia Rating (CDR) was recorded in the OASIS (Oncology-Specific Electronic Health Record) system, with a specificity scale of 0, meaning all occurrences of the term will be included, and a panel accuracy scale of 100, indicating a high level of confidence in the results, within any time frame (ANY). The query will search for the term "Clinical Dementia Rating (CDR)" in the "Clinical Measures" section of the BIRN (Biomedical Informatics Research Network) database.