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HL7/FHIR Interoperability Readiness Checklist

A readiness checklist for connecting your EHR to labs, imaging, pharmacies, HIEs, and patient apps without months of interface surprises. Interoperability lives and dies on standards — HL7 v2 for legacy feeds, FHIR R4 for modern APIs, and the data classes in USCDI. Use this to scope interfaces, validate against certification requirements, and avoid the information-blocking traps that get health systems into trouble.

  • Standards & data foundation
  • Interface inventory & standard
  • Interface scoping questions
  • Interface go-live path
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Spotsaas · 2026
HL7/FHIR Interoperability Readiness Checklist
Standards & data foundation
Interface inventory & standard
Interface scoping questions
Interface go-live path
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What it is

The HL7/FHIR Interoperability Readiness Checklist is a scoping and validation guide for connecting your EHR to labs, imaging, pharmacies, health information exchanges, and patient apps without months of interface surprises. Its central truth is that interoperability lives and dies on standards: HL7 v2 still carries most legacy feeds, FHIR R4 powers modern APIs, and USCDI defines the data classes you're expected to exchange. The checklist helps you scope interfaces, validate against certification requirements, and avoid the information-blocking traps that get health systems into regulatory trouble.

The document is built around a standards-and-data foundation, an interface inventory by standard, interface-scoping questions, and a go-live path. The foundation section makes you confirm your EHR's certified FHIR R4 API endpoints and SMART on FHIR app-launch support, map which USCDI data classes you must exchange (problems, meds, allergies, labs, clinical notes), inventory the legacy HL7 v2 interfaces still in production (ADT, ORM, ORU, SIU, DFT, MDM), and verify terminology bindings — LOINC for labs, RxNorm for meds, SNOMED CT for problems, ICD-10 for billing.

Where it pays off is in the scoping discipline it imposes before you build. The checklist asks whether each interface is mapped field-by-field with agreed code sets on both ends, whether you've tested against real production-volume messages rather than vendor sample payloads, whether patient-app access via FHIR meets ONC information-blocking and API requirements, and who owns monitoring and error queues once an interface is live. These are the questions whose absence turns a 'quick interface' into a months-long surprise, and answering them up front is what the readiness path is for.

What it's used for

Integration teams use this checklist to scope and stand up EHR interfaces predictably, replacing the all-too-common pattern of optimistic estimates and production surprises with a standards-grounded readiness path. It's most useful before any interface work begins.

  • Confirming the EHR's certified FHIR R4 API endpoints and SMART on FHIR app-launch support so modern app and patient-access integrations have a foundation.
  • Mapping the USCDI data classes you must exchange — problems, medications, allergies, labs, clinical notes — so the interface scope reflects real data needs.
  • Inventorying legacy HL7 v2 interfaces in production (ADT, ORM, ORU, SIU, DFT, MDM) so nothing in the existing ecosystem is overlooked during a transition.
  • Verifying terminology bindings (LOINC, RxNorm, SNOMED CT, ICD-10) so coded data actually maps between systems instead of breaking.
  • Scoping each interface field-by-field with agreed code sets on both ends, and testing against real production-volume messages rather than vendor sample payloads.
  • Confirming patient-app access via FHIR meets ONC information-blocking and API requirements, keeping the organization clear of regulatory exposure.
  • Assigning ownership of monitoring and error queues so live interfaces don't silently fail without anyone watching.

Who uses it

Interoperability is owned by integration specialists but depends on input from clinical, compliance, and vendor stakeholders, and the checklist is structured to coordinate them around a standards-based readiness path.

Interface and integration engineersThey scope, build, and test the HL7 v2 and FHIR interfaces, relying on the field-by-field mapping, code-set agreement, and production-volume testing the checklist requires.
Clinical informaticistsThey identify which USCDI data classes must be exchanged and confirm that terminology bindings preserve clinical meaning across systems.
IT and integration architectsThey inventory the legacy interface landscape, plan the FHIR API and SMART on FHIR foundation, and design the monitoring and error-handling ownership.
Compliance officersThey confirm patient-app FHIR access and EHI exchange meet ONC information-blocking and API requirements, keeping the organization out of regulatory trouble.
Vendor and lab/pharmacy partnersThey sit on the other end of each interface and must agree to the field mappings and code sets the checklist demands on both ends.

Context & good to know

Interoperability projects fail predictably, and almost always for the same reasons: the team underestimated mapping, tested against clean vendor samples instead of messy production traffic, or never agreed on code sets with the partner on the other end. The checklist front-loads exactly these failure points. By insisting that each interface be mapped field-by-field with agreed code sets on both ends and tested against real production-volume messages, it converts the optimistic 'just a quick interface' estimate into a scoped, validated piece of work — which is the difference between hitting a date and discovering surprises in production.

The standards landscape itself explains why the checklist separates legacy from modern. HL7 v2 has carried clinical messaging for decades and still runs the ADT, lab order (ORM), result (ORU), scheduling (SIU), charge (DFT), and document (MDM) feeds in most production environments, so it can't be ignored even as organizations adopt FHIR. FHIR R4, with SMART on FHIR app launch, is the modern API standard the ONC certification program now requires for patient and app access, and USCDI defines the floor of data classes that must be exchangeable. Verifying terminology bindings — LOINC, RxNorm, SNOMED CT, ICD-10 — is what makes the coded data in those feeds actually usable on the receiving end rather than arriving as unmatched codes.

The regulatory dimension is what raises interoperability from a technical project to a compliance obligation. The ONC information-blocking rules require that organizations not unreasonably restrict access, exchange, or use of electronic health information, and the standardized FHIR API certification (the §170.315(g)(10) criterion) underpins patient and third-party app access. An EHR that's been certified — whether Epic, eClinicalWorks, or Azalea Health — provides the API foundation, but the organization is still responsible for enabling it and for ensuring patient-app access actually works. The checklist's information-blocking questions exist so that interoperability readiness includes staying on the right side of these rules, not just making interfaces technically function.

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FAQ

Questions, answered

What is the difference between HL7 v2 and FHIR?

HL7 v2 is the long-established messaging standard that still carries most legacy clinical feeds — ADT, lab orders (ORM), results (ORU), scheduling (SIU), charges (DFT), documents (MDM). FHIR R4 is the modern, web-API standard used for app and patient access, with SMART on FHIR for app launch. Most organizations run both: v2 for legacy interfaces and FHIR for new, API-based integrations.

What is USCDI and why does it matter for interoperability?

USCDI (United States Core Data for Interoperability) defines the standardized set of data classes — problems, medications, allergies, labs, clinical notes, and more — that EHRs are expected to be able to exchange. It matters because it sets the floor for what your interfaces must support, so mapping which USCDI classes you exchange is the starting point for scoping interface work.

Why test against production-volume messages instead of vendor samples?

Because vendor sample payloads are clean and predictable, while real production traffic is messy — unexpected values, edge cases, and volume that exposes mapping and performance gaps a sample never would. An interface that passes on samples but was never tested at production volume is one of the most common sources of go-live surprises.

What are information-blocking rules and how do they affect my EHR?

The ONC information-blocking rules prohibit practices that unreasonably restrict the access, exchange, or use of electronic health information. For your EHR, this means enabling standardized FHIR API access for patients and apps and not erecting unnecessary barriers. The checklist includes information-blocking questions so interoperability readiness keeps you compliant, not just functional.

What terminology bindings do interfaces need?

LOINC for lab observations, RxNorm for medications, SNOMED CT for problems and clinical findings, and ICD-10 for billing diagnoses. Verifying these bindings ensures coded data maps correctly between the sending and receiving systems; without agreed code sets, coded values arrive unmatched and lose their meaning.

What is SMART on FHIR?

SMART on FHIR is a standard that lets third-party applications securely launch within or alongside an EHR and access data through its FHIR API with proper authorization. Confirming your EHR's SMART on FHIR app-launch support is part of the standards foundation because it underpins modern app integrations and much of patient-facing access.

Who should own a live interface after go-live?

A named owner responsible for monitoring and the error queue. Interfaces fail silently when no one watches them — a feed can stop and no one notices until a clinician misses a result. The checklist asks who owns monitoring precisely so live interfaces have accountable ownership rather than being assumed to 'just run.'

What legacy HL7 v2 interfaces should I inventory?

At minimum ADT (admit/discharge/transfer), ORM (orders), ORU (results), SIU (scheduling), DFT (charges), and MDM (documents) that are still in production. Inventorying them ensures that during an EHR transition nothing in the existing ecosystem is overlooked, since these feeds carry the bulk of day-to-day clinical messaging.

How does FHIR certification relate to ONC requirements?

The ONC certification program requires certified EHRs to provide a standardized FHIR API (the §170.315(g)(10) criterion) for patient and app access. A certified product like Epic or eClinicalWorks provides this API, but the organization is still responsible for enabling it and confirming patient-app access works, which is why the checklist ties FHIR readiness to certification and information-blocking compliance.

Why does interoperability so often take longer than expected?

Because teams underestimate field-by-field mapping, skip agreeing on code sets with the partner on the other end, and test on clean samples instead of production traffic. Each of these turns a 'quick interface' into a months-long surprise. The checklist front-loads these exact questions so the scope is realistic before work begins.

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