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Healthcare Tech

Healthcare Interoperability with FHIR

Implementing FHIR-compliant backend services for healthcare data interoperability using RESTful APIs. Technical insights from building Kera Health's platform.

December 28, 20258 min read

What is FHIR?

FHIR (Fast Healthcare Interoperability Resources) is a standard for exchanging healthcare information electronically. When building Kera Health, FHIR compliance was essential for interoperability with other healthcare systems.

Why FHIR Matters

Healthcare data is fragmented across systems that don't talk to each other. FHIR provides:

  • Standardized data formats
  • RESTful API patterns
  • Resource-based architecture
  • Modern web standards (JSON, OAuth)
  • Implementation at Kera Health

    Resource Mapping

    We mapped our internal models to FHIR resources:

    | Internal Model | FHIR Resource |
    |---------------|---------------|
    | User | Patient |
    | Doctor | Practitioner |
    | Consultation | Encounter |
    | Prescription | MedicationRequest |

    API Endpoints

    Standard FHIR endpoints follow predictable patterns:

    GET /Patient/{id}

    POST /Patient

    PUT /Patient/{id}

    DELETE /Patient/{id}

    GET /Patient?name=John

    Search Parameters

    FHIR defines standard search parameters:

    # Example: Search patients by name

    @api.get("/Patient")

    def search_patients(name: str = None, birthdate: str = None):

    queryset = Patient.objects.all()

    if name:

    queryset = queryset.filter(

    Q(given_name__icontains=name) |

    Q(family_name__icontains=name)

    )

    return FHIRBundle(queryset)

    Challenges

    Data Transformation

    Converting between internal representations and FHIR format requires careful mapping. We created transformer classes for each resource type.

    Partial Compliance

    Full FHIR compliance is complex. We prioritized the resources and operations most relevant to our use case.

    Performance

    FHIR's verbose format can impact performance. We implemented:

  • Response compression
  • Pagination
  • Selective field inclusion
  • Results

    With FHIR implementation:

  • Integration with partner systems became straightforward
  • Data export for patients was standardized
  • Regulatory compliance improved
  • ~25 endpoints serving healthcare data
  • Lessons Learned

  • Start with core resources only
  • Use existing FHIR libraries when possible
  • Test with FHIR validators
  • Document deviations from standard
  • FHIR isn't simple, but it solves real interoperability problems in healthcare.