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Related Experiment Videos

Hospitexte: towards a document-based hypertextual electronic medical record

J Charlet1, B Bachimont, V Brunie

  • 1Service d'Informatique Médicale, AP-HP & Dép. de Biomathématiques, Univ. Paris 6, France.

Proceedings. AMIA Symposium
|February 3, 1999
PubMed
Summary
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Formalizing medical knowledge for computers is difficult because medicine is empirical. This study proposes an electronic medical record using natural language and structured documents for better clinical knowledge representation.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence
  • Knowledge Representation

Background:

  • Formalizing complex medical knowledge for computer processing presents significant challenges.
  • Existing computerized patient record systems have limited success due to the empirical nature of medicine.
  • Medicine's inherent resistance to formalization hinders effective computerization.

Purpose of the Study:

  • To address the limitations of formalizing medical knowledge in electronic health records.
  • To propose a novel electronic medical record system design.
  • To leverage natural language and structured documents for improved knowledge representation.

Main Methods:

  • Designed an electronic medical record system based on the hypothesis that natural language is essential for medical knowledge.

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  • Incorporated structured documents as a prominent feature within the system.
  • Focused on accommodating the empirical and less formalizable aspects of medical practice.

    • Main Results:

    • The proposed system design acknowledges the difficulty of formalizing empirical medical knowledge.
    • It emphasizes the use of natural language, mirroring clinical practice.
    • Structured documents are integrated to enhance knowledge representation.

    Conclusions:

    • Electronic medical record systems should embrace natural language to fully capture medical knowledge.
    • The empirical nature of medicine necessitates flexible knowledge representation methods.
    • Structured documents offer a viable approach within natural language-based systems for effective clinical data management.