Your HL7 backlog is measured in months. Ours is measured in days.
Health1st puts AI on the slowest part of interface work — the mapping. Draft, review, and ship HL7 v2 ↔ FHIR interfaces without hiring more analysts or ripping out your engine.
- AI drafts the mapping; your analysts review and approve
- Modernize v2 → FHIR without a rip-and-replace
- Coexists with Rhapsody, InterSystems, Mirth, Cloverleaf & Iguana
MSH|^~\&|EPIC|HOSP|H1ST|DST|202601..||ADT^A01|
PID|1||MRN12345^^^HOSP^MR||DOE^JOHN^A||
19701225|M|||123 MAIN ST^^AUSTIN^TX
PV1|1|I|ICU^101^A|||...admit...
DG1|1|I10|E11.9^Type 2 diabetes mellitusAgent
{ "resourceType": "Patient",
"identifier": [{ "value": "MRN12345" }],
"name": [{ "family": "Doe",
"given": ["John","A"] }],
"gender": "male",
"birthDate": "1970-12-25" }
{ "resourceType": "Condition",
"code": { "coding": [{
"system": "…/icd-10-cm",
"code": "E11.9" }] } }In short
The backlog isn't a staffing problem you can hire your way out of
It's a throughput problem. Every feed is hand-mapped, hand-tested, and hand-maintained — and demand from apps, devices, registries, and payers only grows.
A backlog measured in months
On a traditional engine, a single interface routinely runs 6–12 weeks and $10K–$30K+ to build. Every new lab, device, registry, or payer connection joins a queue that never shrinks — it just gets reprioritized.
Scarce, expensive HL7 analysts
The people who can hand-build and test v2 interfaces are rare and costly. When one leaves, tribal knowledge of your Z-segments and quirks leaves with them.
Brittle point-to-point interfaces
Hundreds of one-off feeds, each a silent single point of failure. A field change upstream breaks a downstream interface no one remembers building.
EHR-migration rework
A move to Epic or Oracle Health means re-building interfaces you already had. Migrations are exactly when the backlog explodes and the timeline is fixed.
Costly engine renewals
Enterprise engine contracts renew with price hikes, and mega-priced platforms lock you in. You are paying premium rates for a config-heavy, consultant-driven process.
Must expose FHIR, still run v2
The Cures Act and payer data exchange demand FHIR APIs, but your real-time operations still run on HL7 v2. You need both — bridged, not replaced.
Put AI on the mapping, keep your analysts in control
The AI does the drafting; your team does the deciding. That single change is what turns a months-long queue into a days-long one.
- 1
Point us at the interface
Feed a sample HL7 v2 message — ADT, ORU, ORM, SIU, DFT, MDM — including your custom Z-segments. No pre-built connector required; the AI reads the structure you actually send.
- 2
AI drafts the mapping in minutes
The Mapping Agent proposes a full segment-to-resource mapping to FHIR R4 / US Core, with confidence scores and a plain-English explanation of why each field maps where it does.
- 3
Your analyst reviews & refines
Human-in-the-loop by design. Your team accepts, tweaks, or overrides mappings; changes are versioned with diff and one-click rollback. Weeks of hand-mapping become an afternoon of review.
- 4
Deploy alongside your engine
Run Health1st next to your existing engine — cloud or VPC. Modernize v2 to FHIR incrementally, feed-by-feed, without a rip-and-replace and without a big-bang cutover.
Faster interfaces, modernized estate, less fragility
Weeks to days on new interfaces
The mapping step — historically the longest and most manual — collapses. Analysts review AI drafts instead of hand-building from a spec.
Modernize without rip-and-replace
Keep your v2 real-time flows running while you expose FHIR for apps, patient access, and payer exchange. Coexistence, not a forced migration.
Resilience over tribal knowledge
Every mapping is documented, explainable, and versioned — so a departing analyst doesn't take the interface with them.
Engine capability, without the engine-era cost and effort
Health1st does the integration engine's core job — bidirectional translation — but replaces slow, consultant-built mapping with AI drafts your team reviews.
| Capability | Health1st | Rhapsody | Mirth / OIE | Cloverleaf |
|---|---|---|---|---|
| AI-drafted v2 ↔ FHIR mapping | ||||
| Bidirectional by design | ||||
| Custom Z-segment handling | ||||
| Coexists with your current engine | ||||
| Mapping versioning & rollback | ||||
| Consultant-light configuration | ||||
| Deploy on-prem / VPC |
Comparison reflects typical configurations; capabilities vary by version and deployment. Product names are trademarks of their respective owners.
Security & Compliance
Enterprise-grade trust, stated honestly
Protecting PHI is non-negotiable. Here's exactly where our certifications stand — no overclaiming.
Compliant · BAAs available
Audit in progress
On roadmap
Native, by design
AWS HIPAA-eligible infrastructure · Business Associate Agreements (BAAs) · Encryption in transit & at rest · See our security details →
Frequently asked questions
Turn your interface backlog from months into days.
Send us one of your real HL7 v2 messages — Z-segments and all. We'll draft the FHIR mapping live on a call.