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HICSS
2000
IEEE

Fuzzy Logic in Clinical Practice Decision Support Systems

8 years 11 months ago
Fuzzy Logic in Clinical Practice Decision Support Systems
Computerized clinical guidelines can provide significant benefits to health outcomes and costs, however, their effective implementation presents significant problems. Vagueness and ambiguity inherent in natural (textual) clinical guidelines is not readily amenable to formulating automated alerts or advice. Fuzzy logic allows us to formalize the treatment of vagueness in a decision support architecture. This paper discusses sources of fuzziness in clinical practice guidelines. We consider how fuzzy logic can be applied and give a set of heuristics for the clinical guideline knowledge engineer for addressing uncertainty in practice guidelines. We describe the specific applicability of fuzzy logic to the decision support behavior of Care Plan On-Line, an intranet-based chronic care planning system for General Practitioners.
James R. Warren, Gleb Beliakov, Berend-Jan van der
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where HICSS
Authors James R. Warren, Gleb Beliakov, Berend-Jan van der Zwaag
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