EHR and EMR platforms
Epic, Cerner, athenahealth, and other provider-side record systems.
What We Do: Trust Layer
Healthcare Interoperability Solutions
We design and implement production-grade interoperability across FHIR R4, HL7 v2, SMART on FHIR, and CDS Hooks so your platform can exchange data reliably with modern provider ecosystems.
Standards Decision Table
When to use each interoperability standard and where it delivers the most value.
| Standard | When to use | Best fit systems |
|---|---|---|
| FHIR R4 | Resource-oriented APIs, modern app ecosystems, and scalable longitudinal records. | Patient apps, care management platforms, payer-member apps, and analytics products. |
| HL7 v2 | Event-driven interfaces for ADT, orders, results, and legacy hospital communication. | Hospital systems, lab connectors, imaging workflows, and interface engines. |
| SMART on FHIR | Embedded applications that need secure launch and context inside EHR workflows. | Clinical tools within Epic, Cerner, athenahealth, and similar provider ecosystems. |
| CDS Hooks | Real-time decision support at critical points in clinician workflows. | Order entry support, medication checks, pathway nudges, and in-context suggestions. |
Systems Connected
We build reliable connections across the systems that matter most to healthcare products.
Labs and diagnostics
Inbound/outbound result pipelines, ordering workflows, and event notifications.
Payers and eligibility
Claims and coverage-linked data exchange for operational and care workflows.
Patient-facing products
Mobile apps, portals, and remote-care experiences synchronized with source systems.
Common Integration Patterns
Patterns we use to reduce rework and increase reliability in live healthcare ecosystems.
- Canonical data model with mapper adapters for each external system
- Event-driven ingestion plus idempotent write behavior for resilience
- Version-tolerant connectors for changing vendor APIs
- Replay-safe queues and dead-letter handling for message recovery
Common Interoperability Failure Modes
Critical mistakes that often delay EHR and data exchange initiatives.
One-off connector architecture
Impact: Each new integration becomes slower and more expensive.
Mitigation: Use adapter patterns and canonical models from day one.
Schema drift not managed
Impact: Production breakages when partner systems evolve.
Mitigation: Implement contract checks, version awareness, and rollback-safe releases.
Insufficient observability
Impact: Interface errors are discovered late and are hard to diagnose.
Mitigation: Add transaction-level tracing and alerting across integration paths.
Frequently Asked Questions
Yes. Most healthcare products need both. We design architecture that supports modern APIs while still handling legacy event flows.
Interoperability Services and Solutions We Provide
Explore our implementation-focused interoperability solutions for EHR data exchange, standards support, and production-ready integrations.
Need your interoperability roadmap de-risked?
Book a working session to align standards, integration priorities, and delivery milestones.
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