Clinical data infrastructure
Deterministic parsing and semantic grounding for clinical data.
FHIR is a modern web standard for healthcare data exchange. Its schema allows clinical context to be captured with some variance to support different clinical processes across health systems. By working with upstream data holders such as EHRs, HealthFramework makes that variance explicit and rebuilds clinical data into outputs that are comparable downstream.
FHIR is standardized. Data describing clinical meaning still varies across systems.
The same lab marker can arrive with slightly different context, structure, units, and extraction assumptions. Most downstream handling is still opaque and partner-specific. That does not scale across health systems, integrations, or AI workflows.
Deterministic parsing
We parse FHIR and related clinical inputs through explicit computational contracts, turning partner-specific interpretation into something governed, inspectable, and reusable.
Semantic interoperability
We aim for comparability across systems and downstream workflows, and where applicable, such as labs, we semantically validate marker objects against governed catalogs.
Explicit completeness
We do not drop messy data. We keep provenance visible, make transforms inspectable, and state completeness directly.
A partner-ready labs API and an end-to-end product surface built on top of it.
- A partner-ready API for deterministic parsing and semantic validation of lab markers, with inspectable request and response contracts.
- HealthFramework Monitor, our web platform, works end-to-end on top of that API for secure import, review, and longitudinal interpretation.
- A parsing reference that exposes source-node logic, extraction conditions, and internal property mapping in a readable technical form.
Labs are the first partner-ready surface today. Next comes contract-based parsing for broader clinical data types, with semantic grounding expanding selectively into areas such as medications.
Current focus
Hardening the API, publishing the technical story clearly, and opening the right pilot conversations.