A FHIR-first data layer that unifies 4 EHRs and 12 systems into one canonical patient model — so every new consumer reads the same validated records, no new mapping required.
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Pulse Healthcare Alliance is a multi-provider network whose patient data lived in 4 different EHRs and a dozen surrounding systems, none of which spoke the same language. Every new app, payer, or analytics need meant another bespoke integration.
They wanted interoperability to stop being a recurring project. The answer was to make FHIR the canonical model from ingestion onward, rather than an export format bolted on at the end.
With four EHRs and twelve surrounding systems, every integration was a one-off translation. Data quality varied, the same patient existed under different keys in different systems, and analytics was guesswork.
Every new integration was a multi-week mapping project. We were paying the translation tax over and over.
We built a FHIR-first pipeline: each source is mapped to the right FHIR resource at the edge, validated against the profile, and stored in a FHIR-native store with full version history. Consumers read through the standard FHIR API — no per-consumer adapters.
Identity resolution stitches the same patient across systems into one canonical record, so validation happens once at the boundary instead of everywhere downstream.
PostgreSQL
Kafka
dbt
FastAPI
AWS
Docker
Presidio
Redis
MongoDBEverything in one polished PDF, ready to share with your team.
Big idea, small idea, or somewhere in between — we’d love to hear it.
