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 & Modernization
We migrate and modernize healthcare integration infrastructure — moving HL7 interfaces off aging engines like Cloverleaf or Rhapsody onto modern middleware such as Mirth, without dropping a single live feed.
HL7 v2MLLPMirth / RhapsodyHIPAA-Ready
Trusted by global innovators
What interface engine modernization involves
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. When that engine ages out of support or grows unmaintainable, migration is unavoidable, but every channel carries live patient data that cannot stop.
The hard part is doing it without downtime or data loss. We inventory every interface, rebuild channels and transformers on a modern engine, run old and new in parallel with message-count reconciliation, and cut over feed by feed — so the migration reduces cost and complexity without ever interrupting clinical data flow.
Architecture
See how we migrate interface engines — full feed inventory, rebuilt channels, parallel run, and reconciled, phased cutover.
Common failure modes
Interface migration pitfalls — and how we handle them
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.
Interface Modernization Capabilities
The migration surface behind a clean, modern integration layer.
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
Migration work we deliver
Engine replacement
Move off Cloverleaf, Rhapsody, or legacy engines to modern middleware.
Cloud migration
Relocate integration infrastructure to the cloud.
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.
Migration without dropping a feed
Interface migrations fail on downtime and hidden logic. We inventory, parallel-run, and reconcile before cutover.
Parallel-run
Reconciled before cutover
1–3 mo
Typical migration window
Zero-loss
Message-count reconciled
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
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 robust FHIR-ready 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
Interface engine standards
HL7 v2MLLPFHIRX12CDAHIPAA
Our Process
How we deliver interface migration
Inventory, parallel run, and phased cutover treated as the real work.
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
Why Partner With Us
15-Minute Scoping CallWhy teams trust us with interface 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, Rhapsody, Cloverleaf, and HL7 v2.
Zero-downtime focus
Parallel run and reconciliation so feeds never stop.
Standards fluency
HL7, FHIR, X12, and CDA across one modern engine.
Our relevant experience
Modernization that keeps feeds flowing
Frequently Asked Questions
A migration typically runs 1–3 months depending on the number of interfaces and how much transformer logic must be reverse-engineered. Because we parallel-run and cut over feed by feed, there is no single risky switch — the timeline scales with interface count, not a big-bang date.
Ready to modernize your interface engine?
Send us your feed list and current engine. We will return a phased, zero-downtime migration plan.
contact@agnotic.com
Partnerships
contact@agnotic.com