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A development protocol for a diagnostic DSS.

Y L O1, W J ter Burg, E W ter Braak

  • 1University Medical Centre, Utrecht, The Netherlands. y.o@jc.azu.nl

Studies in Health Technology and Informatics
|March 21, 2000
PubMed
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This study outlines the development of diagnostic decision support systems (DSS) in medicine. It details a dynamic cycle combining software and knowledge engineering for continuous updates to medical diagnostic tools.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Knowledge Engineering

Background:

  • Diagnostic decision support systems (DSS) are expert systems assisting physicians with diagnoses.
  • DSS comprise knowledge and information system components.
  • Effective DSS development requires integrating software and knowledge engineering principles.

Purpose of the Study:

  • To describe the development of diagnostic decision support systems (DSS).
  • To present a dynamic development cycle for DSS.
  • To detail methods for updating and refining the knowledge component of DSS.

Main Methods:

  • Utilizing software engineering, knowledge engineering, and management methods.
  • Implementing a dynamic development cycle for stepwise updates.

Related Experiment Videos

  • Employing rapid prototyping for initial specification evaluation.
  • Developing a knowledge modeling protocol for knowledge base updates.

    • Main Results:

    • A structured approach to DSS development is presented.
    • The dynamic development cycle facilitates continuous refinement.
    • Knowledge engineering is central to the knowledge component's creation.
    • A protocol supports ongoing updates to the knowledge base.

    Conclusions:

    • The described methodology enables the creation of adaptable and updatable diagnostic decision support systems.
    • Continuous refinement through a dynamic cycle is crucial for effective medical DSS.
    • Knowledge modeling protocols are essential for maintaining knowledge base relevance.