Medical Data Interoperability & Integration Services

FHIR R4, HL7 & MIRTH Connect Integration Services for Healthcare Organizations

Structured, compliant data exchange across EHRs, labs, imaging, and payor systems, resolving interoperability debt, HL7 fragmentation, and HIPAA exposure in healthcare integration pipelines.

HL7 v2 to FHIR R4 Translation Failures

Most health systems run HL7 v2 and FHIR R4 simultaneously. Without a correctly designed translation layer, segment mismatches and encoding conflicts cause silent data corruption that surfaces in downstream clinical reporting, not during testing.

Siloed Patient Data Across Disconnected Systems

Records split across the EHR, LIMS, PACS, and payor platform, with no FHIR-native integration layer to combine them into a unified longitudinal patient record.

EHR Upgrades Breaking Live Interfaces

Epic, Athenahealth, and eClinicalWorks updates alter HL7 interface behaviour and FHIR endpoint structures. Integrations without version-resilient architecture break at every upgrade cycle.

PHI Exposure in Integration Pipelines

Unencrypted HL7 message queues, integration engines running without TLS, and PHI flowing through middleware without audit logging are common HIPAA exposure points.

Medical Data Interoperability Services, What We Build

Five capability areas covering the full healthcare integration stack, from FHIR resource implementation through to DICOM imaging workflows.

FHIR R4 Integration & API Development

FHIR R4 implementation across the full resource spectrum, deployed on HAPI FHIR, Azure API for FHIR, AWS HealthLake, or Google Cloud Healthcare API.

  • FHIR R4 resources: Patient, Observation, DiagnosticReport, Encounter, ServiceRequest, MedicationRequest, Condition
  • SMART on FHIR authorization: OAuth 2.0 scopes, launch contexts, EHR-integrated app authentication
  • CDS Hooks: real-time decision support at Epic, Cerner, and Athenahealth workflow trigger points
  • US Core IG and Da Vinci Project IG conformance testing and HL7 Touchstone certification support

HL7 v2 Interface Development

Complete HL7 v2 message type coverage, built for production clinical environments with acknowledgement handling and error routing.

  • ADT (A01–A45): patient admission, discharge, transfer, and merge, bidirectional, per-system segment mapping
  • ORM/ORU: lab and radiology order placement and result delivery with structured OBX mapping to FHIR Observation
  • MDM, DFT, SIU: document management, financial transactions, and scheduling integration
  • HL7 v2 to FHIR R4 transformation: bidirectional conversion using HAPI FHIR model classes and custom validation

MIRTH Connect Implementation

MIRTH Connect channel development, transformation scripting, and HIPAA-compliant deployment for high-volume clinical message routing.

  • Channel development: HL7 v2, FHIR, XML, JSON, DICOM, and custom message types with JavaScript transformer scripting
  • Destination connectors: REST API, database, TCP/IP, SFTP, and AWS SQS/SNS for cloud-native routing
  • Error handling: retry logic, dead-letter queue routing, and message-level audit logging with body storage
  • HIPAA deployment: TLS-enforced channels, encrypted message storage, VPC-isolated server architecture

EHR-to-LIMS & System-to-System Exchange

Integration architectures spanning EHR-to-LIMS, LIMS-to-PACS, and EHR-to-payor across the full clinical data topology.

  • EHR-to-LIMS: ORM order, specimen confirmation, ORU result delivery, automated, no manual re-entry
  • LIMS-to-EHR: FHIR R4 DiagnosticReport with LOINC-coded results, abnormal flags, and reference range mapping
  • EHR-to-payor: Da Vinci PAS, X12 270/271 eligibility, and FHIR Bulk Data export for analytics pipelines

Built for the Organizations Moving Clinical Data

Hospitals & Health Systems

Multi-site IDNs resolving EHR fragmentation and care coordination gaps.

  • EHR-to-EHR data exchange
  • Patient data interoperability
  • HIPAA-compliant architecture
  • ADT and ORU interfaces
See industry page
Payors & Insurers

Health plans needing FHIR prior authorization and member data exchange without point-to-point integration.

  • Da Vinci PAS and CRD
  • X12 270/271 eligibility
  • FHIR Bulk Data export
  • Provider-payor data exchange
See industry page
Life Sciences & Labs

Genomics labs and CROs needing LIMS-to-EHR interoperability and FHIR-based result delivery.

  • LIMS-to-EHR result delivery
  • FHIR DiagnosticReport
  • HL7 order-result workflows
  • Clinical data lake integration
See industry page

Frequently Asked Questions

What is the difference between HL7 v2 and FHIR R4?
HL7 v2 is a message-based push standard for real-time clinical event exchange, ADT, ORM, ORU, over TCP/MLLP, and is deployed in virtually every hospital EHR and LIMS. FHIR R4 is a RESTful API standard that supports both push and pull and is the federal mandate for US interoperability (CMS-0057-F, ONC certification). Most organizations need both: HL7 v2 for existing interfaces, FHIR R4 for new API connectivity. We design architectures that run with a translation layer between them.
What are the most common HL7 integration challenges in legacy healthcare systems?
The most frequent issues are inconsistent segment population across sending systems, non-standard Z-segments that change without notice after upgrades, character encoding conflicts between HL7 escape sequences and modern API standards, and interface proliferation with no central monitoring. We resolve these issues through MIRTH Connect centralization, interface discovery workshops, and upgrade-resilient segment-mapping documentation.
How do you implement FHIR alongside an existing HL7 v2 infrastructure?
We deploy a FHIR server alongside existing HL7 v2 infrastructure, not instead of it. A translation layer (MIRTH Connect) converts incoming HL7 v2 messages to FHIR resources for storage, and translates FHIR queries back to HL7 for legacy systems. FHIR-native applications query the FHIR server; legacy systems continue sending HL7. We implement this domain by domain, demographics first, then results, then orders, to avoid big-bang migration risk.
What does a HIPAA-compliant healthcare integration architecture require?
Every data exchange pathway must be treated as a PHI environment. That means TLS 1.2+ for all data in transit, AES-256 encryption at rest with customer-managed keys, IAM least-privilege service accounts, PHI audit logging on every message processed, VPC isolation for all integration components, and signed BAAs with every cloud vendor handling PHI. Monitoring must detect connectivity loss and anomalous access before they become clinical incidents.

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