chronic-disease-registry-query

A chronic disease registry aggregates FHIR resources like Condition, Observation, MedicationRequest, and Encounter to build patient cohorts for diabetes, hypertension, COPD, asthma, CHF, and CKD. It reports enrollment, severity, treatment patterns, and outcomes trends to identify care gaps and support care-management decisions.

Yes, you can analyze hypertension severity and treatment patterns by querying FHIR Condition, Observation, and MedicationRequest resources. The registry aggregates this data to compute severity distributions, current treatment regimens, and longitudinal outcomes trends for the targeted patient cohort.

Supported chronic conditions for registry analysis include diabetes, hypertension, COPD, asthma, CHF, and CKD. The registry extracts FHIR data to compute enrollment, severity stage distributions, treatment patterns, and outcomes trends, while also analyzing comorbidities and complications for each disease cohort.

Yes, the registry query excludes deceased patients when extracting and aggregating FHIR data. This ensures the structured registry report accurately reflects active patient populations, allowing health teams to measure prevalence, severity, treatment patterns, and outcomes without skewing the data.

To identify care gaps and intervention triggers, the registry analyzes comorbidities, complications, and treatment patterns from FHIR Condition, Observation, and MedicationRequest resources. The structured report outputs demographics, trends, and potential intervention triggers to guide care-management decisions.

The best way to report comorbidities and complications is by aggregating FHIR Condition and Encounter resources to build disease cohorts. The registry outputs a structured report detailing comorbidity and complication insights alongside demographics, severity distributions, and outcomes trends.