EHR & EMR Integration Services
Seamlessly connect your applications to Epic, Athena Health, eClinicalWorks, and PointClickCare — with production-proven FHIR R4, HL7 v2/v3, and REST API expertise.
The Challenge
EHR Integration Is Harder Than the Vendor Documentation Suggests
Every EHR vendor publishes a developer portal that makes integration look straightforward. It almost never is. Epic's FHIR sandbox environment behaves differently from their production system. Athena Health's OAuth2 implementation diverges from the RFC specification in ways that break standard client libraries. PointClickCare's REST API has rate limits and pagination behaviours that only surface under production load. eClinicalWorks documentation is notoriously incomplete for edge cases — and healthcare applications have nothing but edge cases. The hidden cost of EHR integration is the weeks your engineers spend debugging vendor-specific non-conformances, navigating support queues that respond in days, and firefighting issues that experience would have predicted. I have shipped production integrations across all four of the major EHR systems serving the US post-acute, skilled nursing, and ambulatory markets. The 20,000+ facilities I connected at Octdaily generated every integration edge case imaginable — and I've solved them. When you hire a specialist, you buy back those weeks and get it done right the first time.
Deliverables
EHR Integration Capabilities
- Epic FHIR R4 integration — Patient, Practitioner, Encounter, Observation, MedicationRequest, DocumentReference, Condition, AllergyIntolerance, DiagnosticReport resources with full search parameter support
- Epic SMART on FHIR embedded application development — EHR launch and patient-facing launch, OAuth 2.0 PKCE, dynamic client registration, granular FHIR scopes
- Athena Health REST API integration — scheduling and appointments, clinical notes, demographics, billing codes, prescription history, document management
- eClinicalWorks FHIR R4 and HL7 v2 integration — including ECW-specific resource extensions and their custom patient identifier scheme
- PointClickCare API integration for skilled nursing and long-term post-acute care workflows — ADT feeds, MDS data, care plans, medication administration records
- HL7 v2 ADT (A01/A03/A08/A11), ORM (O01), ORU (R01), and MDM (T02) message processing and routing via Mirth Connect or custom .NET pipelines
- Real-time FHIR subscription channels for event-driven integration — patient admission notifications, lab result delivery, discharge summaries
- Bidirectional data synchronisation with idempotent conflict resolution — handling duplicate events, out-of-order message delivery, and partial failures
- Clinical terminology mapping and translation — SNOMED CT, LOINC, RxNorm, ICD-10, CPT, local code systems — using standardised value set services
- Integration monitoring and alerting — message throughput dashboards, error rate alerting, dead-letter queue management, SLA compliance reporting
- EMR data migration between systems — structured data extraction, transformation, validation, and phased loading with rollback capability and full audit trails
- HIPAA-compliant data handling throughout — PHI encryption at rest and in transit, access logging, minimum necessary data principles, BAA-compatible architecture
Stack
Technology Stack
Process
EHR Integration Delivery Process
A clear, predictable engagement model with no surprises.
EHR Ecosystem Audit
Review the target EHR's API documentation, developer sandbox access process, rate limits, authentication requirements, and known conformance issues. I document every data element you need, map it to available API endpoints, and flag gaps early — before they become blockers mid-project.
Data Model & Transformation Design
Map source EHR data elements to your target data model. Resolve terminology conflicts — when the EHR sends a local code and you need SNOMED or LOINC, I design the mapping service. Define the transformation layer and the rules for handling missing, malformed, or unexpected values.
Integration Build with Full Error Handling
Implement the integration with production-grade resilience: retry logic with exponential backoff, circuit breakers, dead-letter queues for unprocessable messages, and idempotency keys to handle duplicate events safely. Every message is logged with full context for HIPAA audit trails.
Sandbox & Performance Testing
Validate the integration thoroughly in the EHR vendor's sandbox environment. Test edge cases: patients with no insurance, encounters with missing required fields, high-volume bursts that hit rate limits, and network failures mid-transaction. Load test against realistic production volumes before cutover.
Phased Production Cutover
Parallel-run the new integration alongside existing processes for an agreed period. Monitor error rates, data fidelity metrics, and SLA compliance in real time. Roll out to a subset of facilities or users first, expanding gradually as confidence grows. No big-bang cutovers.
Steady-State Monitoring & Support
Post-go-live dashboards showing message throughput, error rates, and SLA compliance. Alerting on anomalies. I provide a stabilisation support period after every go-live and can transition to an ongoing retainer for vendor API updates and compliance changes.
FAQ
Frequently Asked Questions
Need to Integrate Your EHR System?
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