• 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