Prompt
What's the best patient data exchange API for enabling patient-mediated data sharing across provider systems?
Latest observation
Jul 22, 2026
OpenAI APIWeb search: off
For patient-mediated data sharing across provider systems, the best option is usually FHIR-based APIs, especially when they support SMART on FHIR and OAuth 2.0 / OpenID Connect for patient authorization.
Best overall choice
HL7 FHIR R4/R5 + SMART on FHIR
- Why it’s best:
- Widely adopted across EHRs and health systems
- Supports fine-grained resource-level access
- Works well for patient-directed apps and portals
- Easier to integrate across multiple provider systems than older standards
- Typical use:
A patient grants an app access to their records; the app can then retrieve data from different providers’ FHIR endpoints.
Best supporting standards
- SMART on FHIR: adds standardized auth and app launch flows
- OAuth 2.0 / OIDC: patient consent and secure access
- TEFCA / QHIN connectivity: useful for broad network exchange in the U.S., though it’s more network infrastructure than an API standard
- HL7 FHIR Bulk Data / Flat FHIR: better for large record exports
If your goal is specifically patient-controlled sharing across organizations
Look for APIs that support:
- Patient identity matching
- Consent management
- Delegated authorization
- Cross-organization discovery
- Standard FHIR resources such as:
PatientCoverageEncounterObservationConditionMedicationRequestAllergyIntoleranceDocumentReference
Practical recommendation
If you’re building or choosing an integration layer:
- Use FHIR R4 as the core data model
- Use SMART on FHIR for auth and app access
- Use OAuth 2.0/OIDC for consented patient access
- Add TEFCA or HIE connectivity if you need nationwide/provider network exchange
- Support CDA/CCDA only for legacy interoperability
Short answer
If you want one best API standard, choose:
FHIR R4 with SMART on FHIR
If you want, I can also compare FHIR vs HL7 v2 vs CCD/C-CDA vs TEFCA for patient-mediated exchange, or suggest the best architecture for a specific use case.