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Documentation Index

Fetch the complete documentation index at: https://developer.eka.care/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

SNOMED CT (Systematized Nomenclature of Medicine — Clinical Terms) is the most comprehensive clinical terminology in the world. Eka Care’s codification pipeline links free-text clinical entities — symptoms, findings, disorders and procedures — to SNOMED CT concept identifiers.
PropertyValue
ontologysnomed
version20250401_extended
metadataNot used

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When to use it

Use SNOMED CT to code clinical entities recorded during consultations:
  • Patient-reported symptoms (chest pain, shortness of breath)
  • Clinical findings and disorders
  • Procedures and interventions
SNOMED CT is the right choice when you need a precise, granular clinical concept rather than a billing-oriented code.

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How it works

The query is normalised, candidate concepts are retrieved through semantic vector search over the SNOMED CT index, and a language model selects the single best match. No metadata is required — send the clinical entity as the query.

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Reading the results

Each result is a SNOMED CT concept:
  • term_id — the SNOMED CT concept identifier (e.g. 29857009)
  • term_name — a human-readable term for the concept
  • score — semantic relevance of the candidate
  • is_linked — true when the pipeline is confident this is the correct match
  • metadata.semantic_tag — the concept’s category (finding, disorder, procedure, …)
The pipeline also matches localised and transliterated terms, so a single concept can be returned under multiple term_name variants across languages.

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Example

A query of chest pain links to SNOMED CT concept 29857009 (“Chest pain”), tagged as a finding.

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Try it out

See the Link Entity API and select the SNOMED CT example to try it.