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Knowledge Representation in Patient Safety Reporting: An Ontological Approach
1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston 77030, USA.
Journal of Data and Information Science (Warsaw, Poland)
|May 21, 2024
Summary
This study introduces an ontological knowledge base to enhance patient safety reporting systems. The developed ontology improves data quality and information extraction for better clinical practice.
Area of Science:
- Health Informatics
- Knowledge Representation
- Ontology Engineering
Background:
- Current patient safety reporting systems suffer from data loss and low quality due to a lack of standardized knowledge bases and text processing.
- Effective patient safety requires robust systems for collecting and analyzing incident reports.
Purpose of the Study:
- To propose and evaluate an ontological knowledge base for representing patient safety information.
- To address limitations in current reporting systems by introducing a structured domain knowledge base.
Main Methods:
- Developed a framework for constructing a patient safety ontology.
- Designed, implemented, and evaluated the ontology in its initial stage.
- Utilized US data for development and evaluation, noting its non-essential nature for the ontology's structure.
Main Results:
- The ontology was developed and evaluated, demonstrating clinical validity through a custom survey.
- Initial outcomes indicate the ontology's potential for improving information collection and text mining.
Conclusions:
- An ontological representation of patient safety knowledge is crucial for improving reporting systems.
- The proposed ontology offers a foundation for enhanced semantic information abstraction and applications in healthcare reporting.
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