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Related Experiment Videos

A frame-based representation of ICD-10.

Paul Fabry1, Robert Baud, Patrick Ruch

  • 1Division d'Informatique Médicale, Hôpital Universitaire de Genève, Suisse.

Studies in Health Technology and Informatics
|December 11, 2003
PubMed
Summary

This study developed a semantic model for the International Classification of Diseases, Tenth Revision (ICD-10) to improve hospital coding systems. While effective for digestive diseases, the model requires further development for broader application.

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Area of Science:

  • Medical Informatics
  • Health Information Management
  • Computational Linguistics

Background:

  • Physicians use the International Statistical Classification of Diseases, Tenth Revision (ICD-10) for hospital patient data coding.
  • Manual ICD-10 coding is time-consuming; computerized tools can enhance efficiency.
  • Developing automated coding systems requires robust medical terminologies.

Purpose of the Study:

  • To construct a surface semantic model of the ICD-10 classification.
  • To enhance a computerized medical coding assistance system.
  • To improve the accuracy and speed of patient data coding in hospitals.

Main Methods:

  • Focused on Chapter XI (Diseases of the Digestive System) of the ICD-10.
  • Performed morphological analysis of index terms to extract medical concepts.

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  • Applied statistical analysis and a semantic frame approach to build the model.

    • Main Results:

    • The developed semantic model effectively represented medical knowledge for Chapter XI of the ICD-10.
    • The model demonstrated satisfactory performance for the targeted chapter.
    • The model's efficiency was limited when applied to other ICD-10 chapters.

    Conclusions:

    • Modeling classifications designed for manual use presents challenges.
    • Further research and development are necessary to create an effective ICD-10 coding help system.
    • The semantic model shows potential but requires refinement for comprehensive application.