• DocumentCode
    3539066
  • Title

    Evidence based Knowledge Retrieval from CPG knowledge base by context and statistical analysis techniques

  • Author

    Hashmi, Zafar ; Zrimec, Tatjana ; Hopkins, Andrew

  • Author_Institution
    Center of Health Inf., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2009
  • fDate
    4-6 Aug. 2009
  • Firstpage
    386
  • Lastpage
    392
  • Abstract
    Clinical practice guidelines (CPGs) are knowledge source of evidence based best clinical practices in healthcare. Evidence based medical knowledge improves decision making at point of care. In view of that, efforts are being put forward to develop, disseminate, and implement clinical practice guidelines. But it has been argued that to make effective use of such important knowledge sources at point of care, it is necessary to computerize them so as to use them with clinical decision support systems. We present in this paper CPGs Knowledge Retrieval (CKR) framework that deploys our context, semantics, ´statistical analysis retrieval techniques´ and indexing strategy. This framework retrieves the portions of CPGs knowledge content which are contextually sensitive and semantically relevant to the problem at hand.
  • Keywords
    database indexing; decision support systems; deductive databases; health care; statistical analysis; CPG knowledge base; clinical decision support systems; clinical practice guidelines; evidence based knowledge retrieval; indexing strategy; statistical analysis techniques; Decision support systems; Statistical analysis; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-4456-4
  • Electronic_ISBN
    978-1-4244-4457-1
  • Type

    conf

  • DOI
    10.1109/ICADIWT.2009.5273842
  • Filename
    5273842