Challenge
Live feeds can't stop during migration.
Agnotic approach
Parallel run of old and new engines with message-count reconciliation before any feed is cut over.
Interface Engine
Interface engine migration
An interface engine that is out of support, or whose license terms have changed, puts every HL7 feed it carries at risk. Agnotic Technologies moves those feeds to a new engine, on premises or in the cloud, and proves each in a parallel run.
HL7 v2MLLPMirth / RhapsodyHIPAA-Ready
Trusted by global innovators
What is interface engine migration?
Interface engine migration is moving every HL7 v2 feed, channel and transformer from an aging integration engine to a new one, on premises or in the cloud, without stopping clinical data flow. Agnotic Technologies inventories each interface, rebuilds it, replays real messages through both engines to compare the output, then cuts over feed by feed.
The interface engine is the quiet backbone of a health system: dozens or hundreds of HL7 feeds (ADT, ORM, ORU, SIU) routing between the EHR, lab, radiology and ancillary systems. Every channel carries live patient data that cannot stop.
The hard part is doing it without downtime or data loss. Parallel runs, message-level regression testing and phased cutover with rollback are the work, so the migration lowers cost and complexity without interrupting clinical data flow.
Data care teams rely on
Lab results, orders and admissions reach clinicians through the interface engine. We inventory every feed, rebuild the channels, run old and new in parallel and cut over in phases.
Common failure modes
Where do interface migrations fail?
Challenge
Undocumented transformer logic hides business rules.
Agnotic approach
We reverse-engineer and re-document channel logic against real message samples before rebuilding.
Challenge
Interface sprawl makes the new engine unmaintainable too.
Agnotic approach
Consistent naming, shared code templates, and documented topology so the new engine stays clean.
Challenge
Silent message failures go unnoticed.
Agnotic approach
Error queues, alerting, and a reprocessing runbook so failures are visible and recoverable.
What do we build during a migration?
The work behind a clean integration layer on the new engine.
Interface inventory & mapping
Full inventory of every feed: source, destination, message type, and volume.
Channel & transformer rebuild
Rebuild channels and transformers on a modern engine with reusable code templates.
Parallel run & reconciliation
Old and new in parallel with message-count reconciliation before cutover.
HL7-to-FHIR modernization
Optionally expose legacy HL7 feeds as FHIR R4 for modern consumers.
Where it runs
Which migrations do we take on?
Engine replacement
Cloverleaf migration, Rhapsody migration or Mirth migration to the engine you choose.
Cloud migration
Run a cloud integration engine in your own AWS, Microsoft Azure or Google Cloud account.
Interface consolidation
Consolidate duplicated or sprawling interfaces.
HL7-to-FHIR bridge
Expose legacy feeds as FHIR for new applications.
Monitoring & alerting
Add the observability legacy engines lacked.
Documentation
Reconstruct interface documentation as part of migration.
Parallel run and regression testing
Every rebuilt channel processes the same real messages as the old one, and we compare the output field by field before any feed moves.
Parallel run
Old and new engines side by side
Message level
Regression tests on real samples
Feed by feed
Cutover with rollback
Compliance-First Healthcare App Development Services Backed by Global Standards
01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through standards-based FHIR APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Which standards does a migration touch?
HL7 v2MLLPFHIRX12CDAHIPAA
Our Process
How does a migration engagement work?
A scoping call and feed inventory first, then the rebuild, parallel run and phased cutover.
1.
Discovery & inventory
We inventory every feed and reverse-engineer transformer logic from real samples.
Feed-mapped
2.
Rebuild on modern engine
We rebuild channels with clean transformers, naming, and error handling.
Maintainable
3.
Parallel run & reconcile
Old and new run together with message-count reconciliation.
Reconciled
4.
Phased cutover
Cut over feed by feed with monitoring and rollback.
Safe cutover
Engine selection
How do you choose an engine after the Mirth Connect license change?
Choosing among Mirth Connect alternatives starts with your estate, not a product list. Agnotic Technologies checks six criteria against your interface inventory: protocol coverage, channel conversion, licensing and source access, deployment, alerting and replay, and your team's skills.
| Criterion | Why it matters | What to ask |
|---|---|---|
| HL7 v2, FHIR, X12 and DICOM support | Many estates mix HL7 v2 feeds with FHIR APIs, payer X12 files and sometimes imaging. An engine that lacks one forces a second tool. | Which of our message types run natively, and which need custom code or a separate product? |
| Channel and code template conversion | Existing channels hold years of transformer logic and shared code templates. Rewriting all of it by hand is often the largest part of a migration. | Is there tooling to convert our channels and templates, and which parts of our inventory would still need a rewrite? |
| Licensing model and source access | The license decides what you pay as volume grows, and whether you can patch or audit the engine yourself. | Is it licensed per server, per interface or per message, and can we read the source or only run binaries? |
| Cloud or on-premises deployment | Where PHI may be stored, the network path to the EHR and your hosting rules decide where the engine can run. | Can it run in our own cloud account and on premises, in containers, with high availability we control? |
| Alerting and message replay | A feed that stops silently is found by clinicians first, and replay decides how fast you recover after an outage. | How are stalled queues and errors alerted, and can we search, edit and replay stored messages with an audit trail? |
| Team skills | Your people maintain the channels for years. An engine whose scripting language nobody on the team knows becomes a support risk. | Which languages and tools do transformers use, and what would our team need to learn to support it alone? |
This table names no products and ranks none on purpose. The license options and the questions for a support or migration RFP are in the Mirth Connect assessment checklist.
Facts and sources
Which facts shape the migration plan?
Standards and rules we plan an interface engine migration around, each linked to its primary source.
The HL7 Version 2 to FHIR implementation guide (v1.0.0, STU 1) maps HL7 v2 message segments, data types and vocabulary to HL7 FHIR R4 bundles, resources, data types and coding systems.
Source: HL7 International, V2 to FHIR implementation guideHL7 FHIR is a standard published by HL7 International for exchanging health data through RESTful APIs built on defined resources such as Patient, Observation and MedicationRequest.
Source: HL7 International (hl7.org/fhir)The HIPAA Security Rule's audit controls standard requires hardware, software or procedural mechanisms that record and examine activity in information systems that contain or use electronic protected health information.
Source: 45 CFR 164.312(b) (eCFR)AWS Prescriptive Guidance names seven migration strategies, the 7 Rs: retire, retain, rehost, relocate, repurchase, replatform, and refactor or re-architect.
Source: AWS Prescriptive Guidance, migration strategies
Why Partner With Us
Why work with Agnotic on engine migration?
Migration that respects the fact these feeds carry live patient data.
Compliance-first
HIPAA-ready, audited message handling throughout.
Engine depth
Fluent in Mirth Connect, Rhapsody, Cloverleaf and HL7 v2.
Zero-downtime focus
Parallel run and phased cutover so feeds keep flowing.
Standards fluency
HL7 v2, HL7 FHIR, X12 and CDA across one engine.
Frequently Asked Questions
The timeline depends on the number of interfaces, how much transformer logic has to be reverse-engineered from real messages and how many feeds can move in each cutover window. Because we run both engines in parallel and cut over feed by feed, there is no single risky switch date.
Cost scales with the number of interfaces, the complexity of the transformations, the testing each feed needs and whether you add HL7 to FHIR modernization and monitoring. We scope against your interface list, so the estimate reflects your estate.
We replay captured production messages through the old and new engines and compare the outbound messages field by field, automatically. Differences are triaged per channel, so testing scales with message volume rather than manual checks, and each feed has a signed-off comparison before it moves.
Not if the cutover is planned feed by feed. We run the old and new engines in parallel, compare their output and cut over one feed at a time with a rollback path, so clinical data keeps flowing during the move.
We migrate from engines such as Cloverleaf, Rhapsody and Mirth Connect to the engine you choose, on premises or in the cloud, rebuilding channels and transformers cleanly rather than copying old problems across.
Yes. Migration is a good moment to add a FHIR facade: we can expose legacy HL7 v2 feeds as FHIR R4 so new applications use FHIR APIs while existing systems keep working.