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Published on: November 2, 2012
Modeling patient safety incidents knowledge with the Categorial Structure method
Julien Souvignet1, Cédric Bousquet, Pierre Lewalle
1INSERM U872, Eq. 20, Paris, France.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
Summary
A conceptual framework for patient safety was developed, followed by a Categorial Structure to model patient safety information. This work enables future ontology development for enhanced patient safety knowledge management.
Area of Science:
- Health Informatics
- Knowledge Engineering
- Patient Safety Research
Background:
- The World Alliance for Patient Safety (PS) initiative, launched in 2004, prompted the development of a conceptual framework for patient safety.
- Existing knowledge on patient safety needed a structured approach for effective modeling and information management.
Purpose of the Study:
- To elaborate a Categorial Structure for modeling patient safety information.
- To lay the groundwork for a full ontology development in patient safety.
- To describe the semantic dissection, ontology requirements, and domain constraints of the conceptual framework.
Main Methods:
- A knowledge engineering method was employed to develop a Categorial Structure.
- Semantic dissection of concepts within the patient safety framework was performed.
- Ontology requirements and domain constraints were elicited.
Main Results:
- A Categorial Structure was elaborated, identifying semantic elements within the patient safety framework.
- The developed ontology comprises 134 concepts and 25 distinct relations.
- This forms the basis for an Information Model for Patient Safety.
Conclusions:
- The Categorial Structure and subsequent ontology provide a robust method for modeling patient safety information.
- This structured approach is a crucial step towards developing a comprehensive patient safety ontology.
- The developed model will enhance the management and utilization of patient safety knowledge.
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