SQL on FHIR 2.0
summary
Claims that SQL-on-FHIR V2 makes FHIR data queryable and portable across modern databases, with a reference implementation and live demos that materialize JSONB in Postgres and produce flat CSVs for BI. The project defines a three‑layer approach: a storage/annotation layer, a flat view definition as FHIR Resource (subset of FHIRPath transpiled to SQL), and portable SQL on top; demos show materialized views, Metabase/Power BI dashboards and a Power BI dashboard over roughly six million patients, proving the approach works end‑to‑end.
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chapters (11)
- 0:00Introduction to SQL on FHIR
- 1:35Challenges of FHIR in traditional databases
- 4:22Evolution of SQL on FHIR solutions
- 8:16Three-layer architecture of SQL on FHIR
- 11:28Defining flat views with FirePath
- 14:44Use cases and portable queries
- 16:32How to join the SQL on FHIR community
- 17:18Live demo of view creation
- 21:50Integration with BI tools
- 23:38Josh’s demo and resources
- 24:43Q&A session








