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[Informatics in mental sciences: clinical data management and "expert systems"].

G Iannuzzo1, M R Telarico, R A Zoccali

  • 1Cattedra di Psichiatria, Università degli Studi di Messina.

Minerva Psichiatrica
|January 1, 1990
PubMed
Summary

Expert systems in medicine are useful, but their application in mental sciences is limited due to programming and scientific model challenges. Advances in information technology and mental disorder classification could enable computerised consultancy systems.

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Area of Science:

  • Medical Informatics
  • Psychiatry
  • Artificial Intelligence in Medicine

Context:

  • Information systems, especially expert systems, are increasingly used in medicine.
  • The application of expert systems in mental sciences has been historically limited.
  • Challenges include intrinsic programming difficulties and the nature of psychiatric scientific models.

Purpose:

  • To analyze the role of expert systems in medicine, with a focus on mental sciences.
  • To identify barriers to the implementation of expert systems in psychiatry.
  • To suggest pathways for future development of computerised consultancy systems in mental health.

Summary:

  • Expert systems offer potential benefits in medical diagnosis and treatment planning.
  • The subjective nature of mental disorders and current psychiatric models pose significant programming challenges.

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  • Overcoming these limitations requires advancements in information technology and empirical mental health classification.

    • Impact:

    • Improved diagnostic accuracy and treatment efficacy in mental health through advanced computational tools.
    • Potential for wider adoption of artificial intelligence in psychiatric practice.
    • Facilitation of evidence-based mental healthcare delivery via computerised consultancy systems.