The infrastructure that keeps healthcare data meaningful, everywhere
Every day, data crosses dozens of systems, and at each handoff its meaning degrades, even between two systems using the same standard.
That layer that keeps clinical meaning intact wherever data travels, did not exist. We built it. We call it Blocks: four interoperable components that create and maintain the Unified Data Model, a semantic foundation that preserves clinical meaning across every system, handoff and workflow.
From fragmented systems to one clinical foundation
- Connect what exists. Whether data lives in EHRs, lakehouses, CRMs or legacy systems. Mapping Blocks translate between healthcare systems in seconds, no re-capture and no migration needed.
- Capture what is new. Data and UX Blocks make new clinical data structured, coded and meaningful at the source.
- Coordinate across every system. Orchestration Blocks coordinate workflows across every connected system, with rules and traceability built in.
All of it lands on the Unified Data Model: the canonical representation of the patient, containing the full clinical meaning of every data point.
Built on open data standards for complete portability and no vendor lock-in
The Unified Data Model acts as the semantic layer across healthcare systems, giving every application, system or AI agent a consistent understanding of clinical data.
Built on open standards, drawing on the strengths of each: openEHR for clinical depth, FHIR for operational data, all encoded at capture into SNOMED, LOINC, ICD and OMOP. That means ownership and portability of the data are retained. No lock-in, no proprietary format holding it hostage. Data that travels anywhere in the system, ready for clinicians and AI to act on safely.
Take a single blood pressure reading. It can exist as a FHIR observation from a hospital, an HL7v2 message from a GP, or a line of free text in a clinical note. Three systems holding three different representations of the same clinical fact. Through our GenAI mapping capability, these become one canonical representation in the Unified Data Model, with values, context and provenance intact.