How to Document an HL7 Interface (Template + Checklist)
A practical template and checklist for documenting an HL7 interface — what to capture, why it matters, and how to keep it from going stale.
Ask any healthcare integration engineer where their interface documentation lives and you'll usually get an uncomfortable pause. It's in a spreadsheet. It's in a Word doc from three interfaces ago. It's in someone's head — and that someone is on vacation.
Interface documentation is the first thing everyone agrees is important and the first thing that gets skipped under deadline pressure. This post gives you a concrete template and checklist so it stops being an afterthought.
Why HL7 interface documentation matters
Key-person risk. If one engineer holds the details of how your ADT feed maps to your EHR, their departure is an outage waiting to happen.
Faster troubleshooting. When a message fails at 2am, good documentation is the difference between a five-minute fix and a five-hour investigation.
Onboarding. New interface analysts get productive in days, not months, when the existing interfaces are actually written down.
Vendor and audit conversations. Clear documentation makes every external conversation — with the EHR vendor, the lab, the auditor — dramatically shorter.
What to capture: the checklist
For every interface, document:
1. The endpoints
Source system and destination system (name, version, owner)
Connection details: protocol (MLLP, TCP, file, API), host/port concept — never put secrets in documentation
Environment: production vs test
2. The message profile
Message types (ADT^A01, ORM^O01, ORU^R01, etc.)
HL7 version (2.3, 2.5.1, etc.)
Trigger events and expected volume
3. The mapping
Field-level mappings: which source segment/field maps to which destination segment/field (e.g.
MSH-4to facility code)Transformations and value translations (code sets, defaults, formatting)
Filtering rules: which messages are dropped or routed differently
4. The operational details
Acknowledgement mode (original vs enhanced, when ACK/NAK is sent)
Error handling and retry behavior
Alerting: who gets notified when it breaks
5. The context
Why this interface exists (the clinical or business reason)
Known quirks and gotchas
Change history
A simple template
Interface: [Source] -> [Destination]
Purpose: [one line]
Owner: [team/person]
Endpoints
Source: [system, version]
Destination: [system, version]
Protocol: [MLLP/TCP/file/API] Environment: [prod/test]
Messages
Types: [ADT^A01, ...]
Version: [2.5.1]
Volume: [~N/day]
Mapping
[source field] -> [destination field] | [transformation notes]
...
Operations
ACK mode: [...]
Error handling: [...]
Alerting: [...]
Notes / gotchas
- ...The real problem: keeping it up to date
The hard part isn't writing documentation once — it's keeping it in sync as the interface changes. Documentation that lies is worse than no documentation.
This is exactly why we built Radinode. Instead of maintaining a separate document that drifts from reality, you map the integration once as a visual workflow — endpoints, message types, field mappings, transformations — and Radinode generates the technical guide as a clean PDF automatically. Change the workflow, regenerate the guide. It also exports Mirth-ready artifacts and HL7/FHIR from the same source of truth, so your documentation and your implementation never diverge.
If you're documenting interfaces by hand today, see how Radinode does it in minutes.
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