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An ontological approach for the development of shareable guidelines
1Division of Medical Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Proceedings. AMIA Symposium
|November 18, 2000
Summary
This study introduces a novel ontological approach to formalize computer-based clinical guidelines, enhancing their reusability and shareability. The new method combines existing formalisms with novel elements for improved decision support systems.
Area of Science:
- Medical Informatics
- Computer Science
- Knowledge Representation
Background:
- Computer-based clinical guidelines and protocols are widely used but lack standardization for sharing.
- Existing formalisms for guideline representation have limitations in reusability and shareability.
- Decision support systems rely on standardized and shareable guideline representations.
Purpose of the Study:
- To present a new approach for formalizing clinical guidelines to improve reusability and shareability.
- To introduce an ontological representation for clinical guidelines.
- To demonstrate a framework supporting this representation with practical examples.
Main Methods:
- Review and discussion of existing guideline representation formalisms.
- Development of a novel ontological representation combining common and new elements.
- Creation of a supporting framework for the ontological representation.
- Application of the approach to three diverse clinical guideline examples.
Main Results:
- A new ontological representation formalizes guidelines using domain-specific knowledge and generic strategies.
- The proposed framework effectively supports the ontological representation of guidelines.
- Successfully developed guidelines of varying complexity using the new approach.
- Demonstrated improved reusability and shareability of formalized clinical guidelines.
Conclusions:
- The presented ontological approach enhances the reusability and shareability of computer-based clinical guidelines.
- The developed framework provides a robust system for guideline formalization and decision support.
- This method offers a promising solution for standardizing and disseminating clinical knowledge effectively.