DocumentCode
2921708
Title
The application of ontology in a clinical decision support system for acute postoperative pain management
Author
Abas, Hazmy Iman ; Yusof, Maryati Mohd ; Noah, Shahrul Azman Mohd
Author_Institution
Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2011
fDate
28-29 June 2011
Firstpage
106
Lastpage
112
Abstract
The paper discusses about the need for an ontological approach for a clinical decision support system (CDSS) in an acute postoperative pain management (APPM) setting. The paper describes the current issues in APPM, namely prescribing and technical errors due to clinicians´ negligence of local guidelines, lack of continuous education and confusion on responsibilities and roles. The paper reviews about structured approaches to improve APPM which is to develop guidelines and algorithms, clinical paths, checklists, daily goals and improvements to health information systems. The approaches can be utilized by using an ontological approach to computerize the key concepts and relationships in APPM to allow terminology management, integration, interoperability and sharing of data, knowledge reuse and decision support. Few features that are important for CDSS are highlighted in this paper. A number of previous studies on the use of ontology to solve biomedical problems are also discussed. The paper also proposed the methodology for designing and developing an ontology-based CDSS for APPM.
Keywords
decision support systems; health care; knowledge management; medical information systems; ontologies (artificial intelligence); acute postoperative pain management; clinical decision support system; clinical paths; continuous education; data sharing; health information system; knowledge reuse; ontology-based CDSS; technical errors; terminology management; Computational modeling; Education; Guidelines; Ontologies; Pain; Terminology; Unified modeling language; acute postoperative pain management; clinical decision support system; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
Conference_Location
Putrajaya
Print_ISBN
978-1-61284-354-4
Electronic_ISBN
978-1-61284-353-7
Type
conf
DOI
10.1109/STAIR.2011.5995773
Filename
5995773
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