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Title: Knowledge Representation in Patient Safety Reporting: An Ontological Approach
Author: Liang Chen; Yang Gong
Source: Journal of Data and Information Science
Issued Date: 2016-06-17
Volume: 1, Issue:2, Pages:75-91
Keyword: Patient safety ; Medical error ; Knowledge representation ; Health information technology ; Ontology
Subject: 新闻学与传播学 ; 图书馆、情报与文献学
Indexed Type: 其他
DOI: 10.20309/jdis.201615
Corresponding Author: Yang Gong (E-mail: Yang.Gong@uth.tmc.edu).
DOC Type: Research Paper
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.
English 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.
Project: This project is supported by a grant from AHRQ, 1R01HS022895 and a patient safety grant from the University of Texas system, #156374
Related URLs: 查看原文
Language: 英语
Citation statistics:
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/8599
Appears in Collections:Journal of Data and Information Science_Journal of Data and Information Science-2016 _期刊论文

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description.institution: School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston 77030, USA

Recommended Citation:
Liang Chen,Yang Gong. Knowledge Representation in Patient Safety Reporting: An Ontological Approach[J]. Journal of Data and Information Science,2016,1(2):75-91.
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