AI-native HL7 v2 toolkit with generation, validation, HL7→FHIR conversion, MCP & Claude Code integration. Bringing healthcare interoperability into the AI-native developer ecosystem
Generate, validate, and convert synthetic HL7 v2 test data — for any HL7 v2 system, with no vendor lock-in.
That's it — no database, no server, no license required. Point the output at whatever you're testing (Mirth, Rhapsody, an IRIS production, your own listener) with hl7gen send.
Testing an HL7 v2 interface means generating realistic-looking messages, and there's surprisingly little good open tooling for that outside of expensive commercial engines. hl7gen fills that gap: a small, free, scriptable tool that generates structurally valid HL7 v2.5 messages for any of ~185 message types, validates messages you already have, and can convert common message types straight to FHIR.
- Generate — synthetic HL7 v2.5 messages for any standard message type (ADTA01, ORUR01, ORMO01, ...), fully populated (not just the required-field skeleton). - Validate — parse and check any HL7 v2 message, yours or generated. - Convert to FHIR — turn common ADT/ORU/ORM messages into a FHIR Bundle (Patient/Encounter/Observation). See Supported message types below — this is intentionally not universal coverage. - Send — deliver a message to any TCP/IP HL7 receiver. - --realistic — optionally use Claude to generate a clinically coherent synthetic patient persona (name, DOB, address, phone) that seeds the message, instead of pure random values. Requires ANTHROPICAPIKEY; without it, generation just uses Faker-based randomization — the tool is fully usable for free either way. - Web playground — try it in the browser with no install (docker compose up, see below). - GitHub Action — generate test HL7 dat
From the project README.
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