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dc.contributor.authorEdwards, Pif
dc.date.accessioned2010-08-19T18:11:43Z
dc.date.available2010-08-19T18:11:43Z
dc.date.issued2010-08-19
dc.identifier.urihttp://hdl.handle.net/10222/13008
dc.description.abstractDue to the complicated nature of medical information needs, the time constraints of clinicians, and the linguistic complexities and sheer volume of medical information, most medical questions go unanswered. It has been shown that nearly all of these questions can be answered with the presently available medical sources and that when these questions get answered, patient health benefits. In this work, we design and describe a framework for Evidence-Based medical information research and delivery, MedicInfoSys. This system leverages the strengths of knowledge-based workers and of mature knowledge-based technologies within the medical domain. The most critical element of this framework, is a search interface, PifMed. PifMed uses gold-standard MeSH categorization (presently integrated into medline) as the basis of a navigational structure, which allows users to browse search results with an interactive tree of categories. Evaluation by user study shows it to be superior to PubMed, in terms of speed and usability.en_US
dc.language.isoenen_US
dc.subjectHealth Informaticsen_US
dc.subjectInformation Retrievalen_US
dc.subjectKnowledge-Based Methodsen_US
dc.subjectEvidence-Based Medicineen_US
dc.titleMEDICINFOSYS: AN ARCHITECTURE FOR AN EVIDENCE-BASED MEDICAL INFORMATION RESEARCH AND DELIVERY SYSTEMen_US
dc.date.defence2010-08-03
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.external-examinerNoneen_US
dc.contributor.graduate-coordinatorMalcolm Heywooden_US
dc.contributor.thesis-readerMichael Shepherden_US
dc.contributor.thesis-readerChristian Blouinen_US
dc.contributor.thesis-supervisorVlado Keseljen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNot Applicableen_US
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