Services · 03
The plumbing your AI feature needs to work.
FHIR and HL7 data pipelines and clinical workflow automation — not as a destination, but as the foundation an AI agent or model actually needs to be accurate.
What we actually build
- FHIR- and HL7-based EHR integration, so your product can read — and write back to — a customer's clinical systems
- Clinical workflow automation that reduces the manual steps between a system and the humans using it
- Data pipelines built around the downstream AI model's actual requirements, not integration for its own sake
- API-driven interoperability work scoped to what your next feature needs, not a multi-year platform rebuild
Built for teams who
- Need EHR/FHIR integration to unlock a specific feature, not because a customer asked for "integration" in the abstract
- Have an AI model that's only as good as the clinical data reaching it today
- Have been burned by a generic integration vendor who didn't understand the downstream use case
Content gap, noted honestly
No existing post maps cleanly to this pillar yet. Worth a first new one here — something like "FHIR for AI: a practical guide" or "What actually breaks when you bolt AI onto a legacy EHR integration."