The FHIR data model has five concepts that shape healthcare data modeling. Concept 1: Resources as semantic units. Patient, Encounter, Observation are complete units. Encapsulate related data. Concept 2: References vs. contained. Related resources link via reference fields. Contained embeds inline. Concept 3: Profiles as constraints. Profiles narrow base resources. Concept 4: Extensions add without...
FHIR for population health analytics uses Bulk Data IG $export to feed downstream analytics. Understanding the pipeline pattern prevents inefficient implementations. Population health use cases 1. Risk stratification (readmission, sepsis, deterioration). 2. Care gap identification (missed screenings, medications). 3. Quality measure reporting. 4. Cohort analysis. 5. Outcomes tracking. Bulk export patterns 1. Group-based export. Group/{id}/$export...