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Related Experiment Videos

Mapping the GALEN CORE model to SNOMED-III: initial experiments

P M Pole1, A L Rector

  • 1Department of Computer Science, University of Manchester, UK.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary
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A physician created a SNOMED disease model, integrating related topography and function data. This experiment assessed the effort, coverage, challenges, and benefits of extending SNOMED for improved clinical data representation.

Area of Science:

  • Medical Informatics
  • Clinical Terminology
  • Ontology Development

Background:

  • SNOMED CT is a comprehensive clinical terminology used globally.
  • Integrating diverse SNOMED chapters presents challenges in maintaining consistency and coverage.
  • Developing and evaluating extensions to SNOMED CT is crucial for enhancing its utility.

Purpose of the Study:

  • To assess the feasibility and value of a physician-led model development for SNOMED CT.
  • To evaluate the effort, coverage, and difficulties encountered when extending SNOMED CT.
  • To determine the added value of integrating disease, topography, function, and morphology concepts.

Main Methods:

  • A physician without prior SNOMED CT modeling experience developed a model.
  • The model integrated two contiguous segments of the SNOMED CT disease chapter.

Related Experiment Videos

  • Related sections from SNOMED CT's Topography, Function, and Morphology chapters were incorporated.

    • Main Results:

    • The study examined the effort required for model development.
    • Coverage of the integrated SNOMED CT segments was assessed.
    • Reasons for difficulties encountered during the modeling process were analyzed.
    • The added value of the developed SNOMED CT extension was evaluated.

    Conclusions:

    • Physician involvement can facilitate SNOMED CT model development.
    • Integrating multiple SNOMED CT chapters requires careful consideration of effort and coverage.
    • The experiment provides insights into the challenges and benefits of extending SNOMED CT for comprehensive clinical representation.