Healthcare terminology intelligence
Moving data is exchange. Making both systems agree on what it means is interoperability.
Overview
Why coded data is the real requirement
Interoperability is not simply moving data between systems. The receiving system must understand what the data means. That is the job of controlled clinical terminology.
Terminologies
- SNOMED CT
- LOINC
- ICD-10 / ICD-11
- RxNorm
- ATC
- HPO
- UMLS
Services
- Terminology servers
- ValueSet management
- CodeSystem hosting
- Concept mapping
- Subset curation
- Version management
Applied
- Structured clinical capture
- Coded prescribing
- Laboratory result coding
- Diagnosis coding
- Research datasets
- Analytics-ready data
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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In practice
Coding at the point of capture, not afterwards
The cheapest place to code clinical data is the moment it is written down. Retrospective abstraction is expensive, slow and lossy — and it is what most research programmes end up paying for.
Data captured against real terminologies at the point of care does not need to be re-abstracted for research.
Language
Terminology and language are the same problem, twice
A clinical concept has to be understood by a system and readable by a person — and in India, readable in more than one language. Controlled vocabularies do not always ship maintained releases in every regional language, which makes curation policy a real design decision rather than a translation task.
How we treat it
Where a maintained regional-language release does not exist for a terminology, the display term is curated and governed locally against the canonical code — the code remains the single source of truth, and the local term is a labelled, versioned display layer over it.
Get the semantics right first.
Terminology strategy, ValueSet curation and mapping.