Knowledge Representation in Patient Safety Reporting: An Ontological Approach
Liang Chen; Yang Gong; Yang Gong (E-mail: Yang.Gong@uth.tmc.edu).
2016-06-17
Source PublicationJournal of Data and Information Science
Volume1Issue:2Pages:75-91
Abstract
Purpose: The current development of patient safety reporting systems is criticized for loss of information and low data quality due to the lack of a uniformed domain knowledge base and text processing functionality. To improve patient safety reporting, the present paper suggests an ontological representation of patient safety knowledge.
Design/methodology/approach: We propose a framework for constructing an ontological knowledge base of patient safety. The present paper describes our design, implementation, and evaluation of the ontology at its initial stage.
Findings: We describe the design and initial outcomes of the ontology implementation. The evaluation results demonstrate the clinical validity of the ontology by a self-developed survey measurement.
Research limitations: The proposed ontology was developed and evaluated using a small number of information sources. Presently, US data are used, but they are not essential for the ultimate structure of the ontology.
Practical implications: The goal of improving patient safety can be aided through investigating patient safety reports and providing actionable knowledge to clinical practitioners. As such, constructing a domain specific ontology for patient safety reports serves as a cornerstone in information collection and text mining methods.
Originality/value: The use of ontologies provides abstracted representation of semantic information and enables a wealth of applications in a reporting system. Therefore, constructing such a knowledge base is recognized as a high priority in health care.
;
Purpose: The current development of patient safety reporting systems is criticized for loss of information and low data quality due to the lack of a uniformed domain knowledge base and text processing functionality. To improve patient safety reporting, the present paper suggests an ontological representation of patient safety knowledge.
Design/methodology/approach: We propose a framework for constructing an ontological knowledge base of patient safety. The present paper describes our design, implementation, and evaluation of the ontology at its initial stage.
Findings: We describe the design and initial outcomes of the ontology implementation. The evaluation results demonstrate the clinical validity of the ontology by a self-developed survey measurement.
Research limitations: The proposed ontology was developed and evaluated using a small number of information sources. Presently, US data are used, but they are not essential for the ultimate structure of the ontology.
Practical implications: The goal of improving patient safety can be aided through investigating patient safety reports and providing actionable knowledge to clinical practitioners. As such, constructing a domain specific ontology for patient safety reports serves as a cornerstone in information collection and text mining methods.
Originality/value: The use of ontologies provides abstracted representation of semantic information and enables a wealth of applications in a reporting system. Therefore, constructing such a knowledge base is recognized as a high priority in health care.
SubtypeResearch Paper
KeywordPatient Safety Medical Error Knowledge Representation Health Information Technology Ontology
Subject Area新闻学与传播学 ; 图书馆、情报与文献学
DOI10.20309/jdis.201615
URL查看原文
Indexed By其他
Language英语
Funding ProjectThis project is supported by a grant from AHRQ, 1R01HS022895 and a patient safety grant from the University of Texas system, #156374
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Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/8599
CollectionJournal of Data and Information Science_Journal of Data and Information Science-2016
Corresponding AuthorYang Gong (E-mail: Yang.Gong@uth.tmc.edu).
AffiliationSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston 77030, USA
Recommended Citation
GB/T 7714
Liang Chen,Yang Gong,Yang Gong . Knowledge Representation in Patient Safety Reporting: An Ontological Approach[J]. Journal of Data and Information Science,2016,1(2):75-91.
APA Liang Chen,Yang Gong,&Yang Gong .(2016).Knowledge Representation in Patient Safety Reporting: An Ontological Approach.Journal of Data and Information Science,1(2),75-91.
MLA Liang Chen,et al."Knowledge Representation in Patient Safety Reporting: An Ontological Approach".Journal of Data and Information Science 1.2(2016):75-91.
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