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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
Summary
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.
- 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.