Healthcare Integration Engine Services

Healthcare integration engines — also called HL7 interface engines — are the backbone of clinical data exchange, routing HL7 messages, transforming FHIR resources, and connecting disparate systems across your organization. We deploy, customize, and manage Mirth Connect, Open Integration Engine, BridgeLink, and Rhapsody — and migrate clients between engines (including from Iguana, Corepoint, or Cloverleaf into our supported platforms) with senior certified engineers on each.

CAPABILITIES

The integration engine stack — protocol to delivery.

Every healthcare integration engine does the same core work: take in clinical data on any protocol, transform and route it, scale without downtime, and keep it running. We deliver all of it — across Mirth Connect, OIE, Rhapsody, and BridgeLink.

Our platforms

Four engines, one team.

Engagements typically combine two or three. We work alongside your integration team, your security and compliance group, and your EHR vendor — never around them. Senior engineers certified on each platform.

Mirth Connect

The most widely deployed open-source healthcare integration engine — HL7 v2, FHIR, and custom channels across acute care, ambulatory, and payer environments.

HL7 v2 · FHIRJS transformersCloud-ready

Open Integration Engine

The community-driven MPL 2.0 fork of Mirth Connect — full channel compatibility with transparent, vendor-neutral governance. Migration is a lift-and-shift.

MPL 2.0Mirth-compatibleCommunity

Rhapsody Integration Engine

The commercial engine from Rhapsody — native FHIR Facade, X12 support, and four deployment patterns (on-prem, AWS, Azure, or Rhapsody-as-a-Service) with vendor SLAs.

FHIR FacadeX12Vendor SLA

MDDS Console

Our AI-powered documentation and monitoring platform — auto-generated channel docs, throughput monitoring, and real-time anomaly detection for Mirth Connect and OIE.

AI docsMonitoringAnomaly detection

Not sure which engine fits — or whether to migrate? We'll scope it with you, independent of any platform vendor.

Scope it with an engineer
Overview

What Is a Healthcare Integration Engine?

The middleware platform that makes healthcare interoperability possible — connecting every clinical system in your organization.

HL7 v2 · FHIR R4 · X12 · DICOM · CDA · flat files

Multi-protocol message processing

Healthcare integration engines speak every protocol clinical data travels on. HL7 v2 messages arrive over MLLP with message types like ADT, ORM, and ORU. FHIR R4 resources use RESTful JSON. X12 EDI carries claims and eligibility, DICOM ferries imaging studies, CDA documents wrap clinical summaries, and flat files keep legacy systems alive.

  • HL7 v2 ADT / ORM / ORU / SIU / MDM over MLLP
  • FHIR R4 RESTful APIs (US Core / USCDI v3)
  • X12 EDI 270/271/276/277/834/835/837
  • DICOM C-STORE + DICOMweb (QIDO/WADO/STOW)
  • C-CDA documents + flat-file legacy formats
Filter · transform · validate · acknowledge

Message routing, transformation, and ACK handling

When a patient is admitted, a lab result is finalized, or a prescription is sent to a pharmacy, the engine handles the exchange. Inbound messages are parsed, validated against schemas and code sets, transformed into the format each destination expects, routed by content rules, acknowledged back to the sender, and queued for retry if a downstream system is offline.

  • Filter + content-based routing per channel
  • Code-set translation (ICD-10 ↔ SNOMED ↔ LOINC)
  • Schema + value-set validation per message
  • ACK / NACK handling + retry queues
  • Audit logging + message-replay tooling
Hub-and-spoke vs n×n point-to-point

Why healthcare needs dedicated engines

General-purpose middleware and API gateways lack the protocol support, message validation, and compliance features healthcare data exchange demands. Without a dedicated engine, every system pair requires its own custom connection — interface count grows quadratically as systems are added. An integration engine centralizes this complexity in a single hub where routing, transformation, and error handling logic lives.

  • Native MLLP socket support + HL7 v2 parsing
  • HIPAA / 42 CFR Part 2 audit trail by default
  • Centralized error handling + reprocess workflows
  • Reduces n² point-to-point integrations to n channels
  • Healthcare-specific monitoring + ops tooling
EHR · HIE · TEFCA · analytics · cloud

Where engines fit in the interoperability stack

The integration engine is one layer in a broader healthcare interoperability architecture. It connects to EHR systems like Epic and Oracle Health, routes data to and from health information exchanges, supports TEFCA connectivity through QHINs, and feeds downstream analytics platforms.

  • EHR-to-EHR + EHR-to-ancillary integration
  • HIE / Carequality / CommonWell / TEFCA connectivity
  • Cloud + hybrid deployments (AWS / Azure / on-prem)
  • API gateway + IdP + monitoring co-deployments
  • Analytics + data-warehouse data feeds
What We Do

Integration & Interface Engine Capabilities

From channel development to cloud deployment and ongoing managed services, we cover the full lifecycle of healthcare integration engine operations. Pick a capability to see how we deliver it.

Channel Development & Configuration

HL7 v2, FHIR, and custom channels — built to run. We design and build production-grade integration channels that handle HL7 v2 ADT, ORM, ORU, and SIU message types, FHIR R4 resource bundles, and custom data formats. Every channel includes error handling, message filtering, acknowledgment management, and comprehensive logging for auditability.

  • HL7 v2 ADT / ORM / ORU / SIU
  • FHIR R4 bundles + custom formats
  • Filtering, ACK, and retry built in
  • Comprehensive audit logging
See HL7 integration — Channel Development & Configuration

Message Transformation & Routing

HL7 v2 to FHIR, X12, and C-CDA — mapped and routed. Complex healthcare data exchange requires transforming messages between formats — HL7 v2 to FHIR, X12 EDI to JSON, CDA to flat file, and dozens of other permutations. We build transformation logic that handles vendor-specific Z-segments, code mappings, and conditional routing based on message content.

  • HL7 v2 to FHIR R4 transforms
  • X12 EDI, C-CDA, flat-file mapping
  • Vendor Z-segment handling
  • Content-based routing + code maps
Explore interoperability — Message Transformation & Routing

Cloud & Hybrid Deployment

Cloud-native or on-prem bridge — your call. Deploy your integration engine on AWS, Azure, or GCP with infrastructure-as-code automation, or run hybrid configurations that bridge on-premise clinical systems with cloud workloads. We handle container orchestration, load balancing, SSL/TLS termination, and network security for HIPAA-compliant deployments.

  • AWS, Azure, GCP — IaC automated
  • Hybrid on-prem to cloud bridges
  • Load balancing + TLS termination
  • HIPAA-compliant network security
Explore cloud services — Cloud & Hybrid Deployment

High Availability & Clustering

Active-active clustering — no single point of failure. Mission-critical healthcare integrations demand zero downtime. We architect clustered engine deployments with active-active or active-passive failover, shared message stores, distributed channel processing, and automated health checks that keep interfaces running during maintenance windows and infrastructure events.

  • Active-active / active-passive failover
  • Shared, replicated message stores
  • Distributed channel processing
  • Automated health checks
See Mirth Connect services — High Availability & Clustering

Monitoring & Alerting

Dashboards, alerts, and AI anomaly detection. Proactive monitoring catches integration failures before they impact clinical workflows. We implement dashboards, alerting rules, message queue depth tracking, throughput metrics, and automated escalation workflows. Our MDDS platform adds AI-powered anomaly detection to surface issues that static thresholds miss.

  • Throughput + queue-depth dashboards
  • Alert rules + escalation workflows
  • Failed-ACK + retry monitoring
  • MDDS AI anomaly detection
Explore MDDS Console — Monitoring & Alerting

Migration & Upgrades

Mirth 3 to 4, Mirth to OIE, Cloverleaf to Mirth. Whether you are upgrading Mirth Connect versions, migrating from a legacy engine like Cloverleaf or Rhapsody, or transitioning from Mirth to OIE, we handle the full migration lifecycle. This includes channel inventory, dependency mapping, parallel testing, cutover planning, and post-migration validation.

  • Channel inventory + dependency map
  • Parallel testing, message-for-message
  • Cutover planning + rollback
  • CVE patching + version upgrades
See OIE migration — Migration & Upgrades Compare OIE, BridgeLink & Mirth Connect

Choosing between platforms? Compare Mirth Connect, OIE & Rhapsody →

Platform Comparison

Compare Integration Engines (Mirth · OIE · Enterprise)

Understanding the differences between open-source and commercial healthcare integration engines helps you choose the right platform for your organization.

Healthcare integration engine platform comparison
Feature Mirth Connect Open Integration Engine Enterprise (Rhapsody, Cloverleaf)
License Commercial (since v4.6, March 2025) Open-source MPL 2.0 fork Commercial
Cost Vendor pricing + support Free $100K+/yr
Community Vendor-managed (NextGen) Multi-vendor community Vendor-managed
Cloud Deployment Yes Yes Varies
HL7 v2 Support Full Full Full
FHIR R4 Support Plugin Plugin Native
Scalability Horizontal Horizontal Enterprise
Vendor Support NextGen Healthcare Multi-vendor (Saga IT et al.) Vendor SLA

For the full open-source breakdown, read our deep dive: OIE vs BridgeLink vs Mirth Connect →

How We Engage

Engagement models that fit your team

Engagements typically blend a project and a retainer. Our engineers are certified on each engine and independent of the platform vendor — we work inside your Mirth Connect, OIE, or Rhapsody environment, alongside your integration and clinical-informatics teams, never around them.

Trusted by healthcare organizations nationwide

Other Engines

Other Interface Engines We Support

Beyond our flagship platforms — Mirth Connect, OIE, BridgeLink, and Rhapsody — we also support the enterprise integration engines below: channel/route development, day-2 administration, version upgrades, and migrations in either direction (consolidating onto one engine, or carving out a workload that fits a different one better). Click any diagram to expand.

Pattern 1 / 5

Iguana Interface Engine

iNTERFACEWARE's Iguana engine pairs Lua-based scripting with a visual channel canvas — popular at health information networks and labs that need granular transformation control. Saga IT supports Iguana environments alongside our Mirth, OIE, and Rhapsody work: channel development, day-2 administration, and migrations in either direction. Teams sometimes consolidate to Mirth Connect or OIE for open-source flexibility; others stay on Iguana for its Lua-first ergonomics.

  • iNTERFACEWARE
  • Lua scripting
  • HL7 v2 · FHIR · X12
  • Visual canvas

Running your integration engine on AWS? Buy our services through AWS Marketplace.

Procure through AWS Marketplace and draw down your committed AWS spend (EDP) — no new vendor onboarding, no new paperwork.

Links to the AWS Marketplace listing ↗
Frequently Asked Questions

Common Questions

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  • Healthcare IT engineers, not sales
  • Reply within one business day
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