EHR modernization
- Validate patient-facing APIs against bundled resources
- Reproduce Observation and Encounter dependencies
- Surface mapping gaps when migrating from HL7 v2
FHIR R4 Bundles
Deliver synthetic FHIR R4 bundles
Accelerate healthcare integrations
Spin up Patient, Observation, and Encounter bundles that mirror FHIR R4 layouts so integration, analytics, and QA teams can rehearse realistic flows without touching production data.
Compliance disclaimer
FHIR sample bundles do not guarantee regulatory compliance. Review your regional guidelines, anonymization policies, and clinical governance before using generated data in production workflows.
Why synthetic FHIR matters
Compliance-friendly FHIR bundles let you rehearse complex healthcare workflows safely, giving EHR, interface, and analytics teams the same dataset to validate against.
HIE & interface testing
- Check reference integrity across multiple systems
- Verify terminology conversions for LOINC/SNOMED
- Stress-test webhook or event-stream pipelines
Analytics & QA
- Smoke-test dashboards before exposing production data
- Train teams on handling missing or conflicting records
- Assess anonymization risk with synthetic cohorts
Sample bundle structure
DataGen Pro creates bundles that include Patient, Observation, and Encounter resources so you can exercise cross-resource dependencies end to end.
| Field | Description | Reference |
|---|---|---|
| resourceType | Resource type within the bundle (Patient, Observation, etc.) | FHIR R4 Core Specification 1.8 |
| id | Unique ID per resource (UUID) | FHIR R4 Resource.id |
| meta.lastUpdated | Last update timestamp (ISO 8601) | FHIR R4 Meta.lastUpdated |
| patient.identifier | Patient identifier (payer/member number) | HL7 Japan Core Patient |
| observation.code | Observation code (LOINC) | FHIR Observation.code |
| encounter.period.start | Encounter start timestamp | FHIR Encounter.period |
Pair generated bundles with a terminology server to validate code sets, and log AuditEvent entries alongside bundles to prove traceability during audits.
Implementation checklist
1
Select your profiles
Choose target profiles such as US Core or JP Core and list mandatory elements and terminologies.
2
Map & validate
Use the FHIR Validator or Inferno to confirm conformance and adjust extensions or value sets.
3
Run scenario tests
Exercise batch and real-time flows through gateways and integration engines, including edge cases.
4
Capture audit evidence
Store AuditEvent and access logs so HIPAA/GDPR reviews can trace the synthetic dataset.
Frequently asked questions
Q. Can we align the data with national profiles?
A. Yes—extend the JSON Schema with custom extensions or value sets and swap in your terminology mappings.
Q. How large are the generated bundles?
A. A five-resource bundle is roughly 50 KB. Adjust bundle size and count to fit CI time budgets.
Q. Do you support resources beyond Patient?
A. We include Observation, Encounter, and CarePlan samples out of the box. Send an issue or PR for additional resources.
Start integration tests with FHIR R4 bundles
Generate Patient, Observation, and Encounter bundles in minutes and give API, ETL, and analytics teams the same dataset to validate.