Use Case
Clinical Data Interoperability
The Problem
The Challenge
Clinical data locked in proprietary formats cannot move between systems, survive platform changes, or meet federal interoperability mandates under the 21st Century Cures Act. Organizations that invest millions in clinical data models find those models trapped inside a single vendor's platform — and when that platform changes or is replaced, the clinical knowledge captured in the data model is lost or degraded.
Our Approach
How Selah Approaches This
We architect vendor-independent clinical data models using openEHR archetypes with SNOMED CT terminology binding. FHIR R4 serves as the exchange layer — the way data moves between systems — while openEHR provides the persistence layer that survives platform changes. Your clinical content is modeled once and exposed through whatever API layer your systems require.
Technology
The Architecture
openEHR archetypes provide the vendor-independent clinical data model, with OBSERVATION and EVALUATION archetypes capturing clinical content in a standardized, reusable format. FHIR R4 serves as the exchange and API layer. Terminology binding to SNOMED CT and LOINC ensures semantic interoperability. AQL enables clinical queries against the archetype-modeled data.
Deliverables
What You Get
- openEHR archetype library for your clinical domain
- FHIR R4 export and API implementation
- Terminology binding (SNOMED CT, LOINC)
- USCDI compliance documentation
Ready to Start?
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