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 v2 and FHIR, bridged so one doesn't force out the other.
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 with your current engine, no 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
Where our compliance actually stands
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.