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Computer assisted medical diagnosis using the Web

L P Seka1, A Fresnel, D Delamarre

  • 1Laboratoire d'Informatique Médicale, Faculté de Médecine, Rennes, France.

International Journal of Medical Informatics
|March 20, 1998
PubMed
Summary
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The Aide au diagnostic Medical (ADM) system, a pioneering French medical knowledge base, has been redesigned for web accessibility. This project facilitates physician access to extensive disease and symptom information online.

Area of Science:

  • Medical Informatics
  • Digital Health
  • Knowledge Management

Background:

  • The Aide au diagnostic Medical (ADM) project initiated 15 years ago as France's first telematic physician resource.
  • The ADM knowledge base encompasses over 10,000 diseases and 100,000 signs/symptoms across all pathological domains.
  • Initially accessed via the MINITEL terminal, the system aimed to support medical diagnostics.

Purpose of the Study:

  • To detail the experience of redesigning a substantial medical knowledge base for internet dissemination.
  • To transition the ADM system from a legacy platform to a modern web-based interface.
  • To enhance physician accessibility to comprehensive medical diagnostic information.

Main Methods:

  • Redesigning a large, existing medical knowledge base for web diffusion.

Related Experiment Videos

  • Utilizing the ORACLE relational database management system for knowledge base support.
  • Developing a Perl-based web interface to generate HTML pages for a web server.

    • Main Results:

    • Successful transformation of the ADM medical knowledge base for internet accessibility.
    • Implementation of a web interface enabling broader physician access to disease and symptom data.
    • Demonstration of a scalable approach for migrating legacy medical databases to the web.

    Conclusions:

    • The redesign facilitates wider access to the ADM medical knowledge base for healthcare professionals.
    • Web diffusion enhances the utility of comprehensive medical information for diagnostic support.
    • The project provides valuable insights into migrating extensive medical knowledge bases to modern web platforms.