Abstract
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.
Original language | Undefined |
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Title of host publication | Proceedings of the 33rd Hawaii International Conference on Systems Sciences |
Place of Publication | Maui, Hawaii |
Publisher | IEEE Computer Society Press |
Pages | 1-10 |
Number of pages | 10 |
ISBN (Print) | 0 7695 0493 0 |
Publication status | Published - Jan 2000 |
Event | 33rd Hawaii International Conference on System Sciences, HICSS 2000 - Maui, United States Duration: 4 Jan 2000 → 7 Jan 2000 Conference number: 33 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
Conference
Conference | 33rd Hawaii International Conference on System Sciences, HICSS 2000 |
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Abbreviated title | HICSS |
Country/Territory | United States |
City | Maui |
Period | 4/01/00 → 7/01/00 |
Keywords
- EWI-1778
- IR-17305
- METIS-114200