The healthcare data fabric
Bringing clinical, diagnostic, imaging, laboratory, research and operational data together without collapsing them into one vendor's database.
Overview
One fabric across many source systems
CAD CARE architects data environments that bring together clinical, diagnostic, imaging, laboratory, research and operational information while preserving source-system independence.
Sources
- HIS · HIMS
- EHR · EMR
- LIS
- RIS · PACS · VNA
- Wearables
- Genomics
- Research systems
- Public health
Fabric
- Integration
- Normalisation
- Terminology
- FHIR
- Data platform
- Governance
Use
- Analytics
- AI & ML
- Research & RWE
- Operational reporting
- Longitudinal records
- Evidence
Where this sits
Every CAD CARE technology capability is positioned against the same eight-layer stack, so it is always clear what a capability does and what it depends on.
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Longitudinal health
Longitudinal health intelligence
CAD CARE architectures can support longitudinal health information assembled across encounters, providers, diagnostics, imaging, research and patient-generated data.
A deliberate distinction
This is a data-driven longitudinal health representation. It is not a validated clinical digital twin, and CAD CARE does not describe it as one. The difference is clinical validation, and it matters.
Build the data layer.
Integration, normalisation, governance and a platform that research and AI can actually use.