FHIR (Fast Healthcare Interoperability Resources)
The HL7 healthcare data exchange standard — the lingua franca for structured clinical data exchange between EHRs, payers, and downstream applications, including healthcare AI systems.
What FHIR (Fast Healthcare Interoperability Resources) means in practice
Fast Healthcare Interoperability Resources is the modern HL7 standard for clinical data exchange. FHIR defines structured Resources for the entities a healthcare AI system needs — Patient, Encounter, Condition, Observation, MedicationRequest, DocumentReference — exposed via REST APIs and increasingly as the integration substrate of choice for cloud-EHR platforms (Epic on FHIR, Cerner/Oracle Health, Allscripts/Veradigm). Healthcare AI deployments that produce structured outputs from unstructured clinical text — MindMap's Medical Records Parser is the canonical example — emit FHIR-compliant Resources directly, with field-level confidence scores attached to each extracted element. SMART on FHIR is the authorisation/launch standard for agentic systems that need in-context EHR access.
Related terms
Clinical Decision Support (CDS) →
AI systems that recommend clinical actions to physicians — automatically Annex III high-risk under the EU AI Act and increasingly regulated by the FDA and MHRA as software-as-a-medical-device.
Intelligent Document Processing (IDP) →
End-to-end automation of document workflows: capture, classify, extract structured data, validate, route, and integrate into downstream systems.
LLM-augmented extraction →
Using a large language model to extract structured fields from documents — particularly effective on layout-free documents where template-based OCR fails.
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The Sovereign AI Playbook.
Enterprise generative AI that runs on your servers.
- 01Definition. The four non-negotiable properties of a sovereign deployment — and the three patterns that look sovereign but aren't.
- 02Why now. Three forces that converged in 2026: regulator pressure, the open-weights capability gap closing, and unit economics flipping.
- 03Reference architecture. The five-layer stack we deploy: applications → agent runtime → sovereign LLM → RAG + KB → data stores. With model and tooling choices for each.
- 04The regulators. SAMA · RBI · UK ICO · EU AI Act · DPDP · HIPAA — what each requires and how it maps to architecture.
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Sovereign AI, RAG, agentic AI, IDP, MLOps and the regulations that shape enterprise AI.