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Transform HL7 v2 and C-CDA data into FHIR.

Convert HL7 v2 messages and C-CDA clinical documents into FHIR resources. Review source-to-resource mapping and normalization before validating the output for your receiving system.

TRANSFORMATION WORKFLOWS

Convert HL7 v2 messages and C-CDA documents.

Keep the source and generated FHIR close together so teams can understand what changed, where it mapped, and what to inspect next.

HL7v2 → FHIR

Turn message-based data into structured FHIR resources.

Follow message segments into mapped Patient, Observation and Encounter resources without hiding the source context.

Explore HL7 to FHIR
HL7v2MSH · PID · PV1 · OBX
→
FHIR BundlePatient · Observation · Encounter

C-CDA → FHIR

Convert clinical documents into modern FHIR structures.

Bring document content forward into resource-based workflows while keeping the transformation easy to review.

Explore C-CDA to FHIR
C-CDAClinical document
→
CompositionPatientAllergyIntolerance

MAPPING & NORMALIZATION

See how source data becomes FHIR.

Follow HL7v2 fields into FHIR resources, with source values and mappings shown side by side.

WORKFLOW INTEGRATION

Use transformation in your workflow.

Move from browser-based testing to repeatable transformation workflows.

01
REST APIs

Integrate into applications

02
Batch processing

Run repeatable workflows

03
Deployment

SaaS · Private Cloud · On-Prem

Request API documentation

Common questions

Data Transformation FAQ

How are HL7 v2 and C-CDA converted to FHIR?

Transformation maps fields from HL7 v2 messages or sections of C-CDA clinical documents into FHIR resources. Review the source alongside the output to check patient identifiers, clinical values, codes and resource references. The mapping depends on the source format and the target FHIR profiles.

Explore HL7 v2 to FHIR conversion
What should I check after converting a clinical document?

Compare the generated resources with the original document, then validate them against the profiles and terminology your receiving system expects. A successful conversion alone does not establish that the data is complete, clinically accurate or ready for production.

Review FHIR validation checks
How can I evaluate a transformation workflow?

Start with synthetic or de-identified samples representative of your source system. Identify the source format, target FHIR version and profiles, expected volume and deployment requirements. Compare the output with your expected mappings and discuss integration requirements with Hgear before production use.

Explore C-CDA to FHIR conversion

WHAT'S NEXT

Validate your FHIR data.

Check transformed data against the profiles, terminology and conformance rules your workflow expects.

Explore Validation