Health Samurai Blog

FHIR (Fast Healthcare Interoperability Resources) revolutionized medical data exchange between systems. However, its nested JSON structure makes data analytics challenging.

FHIR's nested structure works for APIs but frustrates SQL analytics. SQL on FHIR uses a simple DSL to define flat views – portable across ETL/ELT runners, tested via shared suites. Nikolai Ryzhikov's DevDays session demos the workflow from Synthea data to Grafana dashboards.

SQL on FHIR in PostgreSQL. Two types of SQL on FHIR View Runners - ETL (in-memory) & ELT (in-database) and demo the ELT implementation for PostgreSQL.

Discover top free FHIR tools that simplify integration without the cost. From building medical forms to validating FHIRPath, these tools help developers and healthcare teams boost data exchange - totally free!