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
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