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The application of ontologies and problem-solving methods for the development of shareable guidelines
P A de Clercq1, A Hasman, J A Blom
1Department of Medical Informatics, University of Maastricht, Maastricht, The Netherlands.
Artificial Intelligence in Medicine
|March 22, 2001
Summary
This study introduces a new framework for computer-based clinical guidelines, enhancing their authoring and execution. The approach aims to improve the adoption of shareable guidelines and decision support systems in healthcare.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Medicine
Background:
- Clinical guidelines are beneficial in medicine.
- Computer-based clinical guidelines are used in policy, education, and workflow facilitation.
Purpose of the Study:
- To discuss existing representations of computer-based clinical guidelines.
- To present a novel approach for guideline formalization and authoring.
- To improve the acceptance of guidelines and decision support systems in daily care.
Main Methods:
- Review of literature on guideline representations.
- Development of a new approach combining primitives, ontologies, and problem-solving methods (PSMs).
- Creation of a framework to support the guideline authoring process.
Main Results:
- Demonstration of the proposed framework.
- Presentation of examples of guidelines, PSMs, and systems developed using the approach.
- Facilitation of guideline acquisition and execution phases.
Conclusions:
- The new approach enhances formalisms for computer-based clinical guidelines.
- The framework supports the entire guideline authoring process.
- Improved guideline acquisition and execution can increase adoption in daily healthcare.