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Triage in emergency departments is often complex and subject to conditions of uncertainty. The need for timely and accurate clinical assessment based on restricted and ambiguous information; the need to be consistent with standard triage scale and the stressful environment contribute to complexity and uncertainty of triage decision-making. This paper proposes a model for mobile decision support that aims at assisting the nurse when determining treatment category of a triage patient. Our model integrates soft computing and mobile computing technologies to provide intelligent decision support. The paper describes the model and prototype implementation of the model.Presented at: IFIP International Conference on Decision Support Systems; 2004 Jul 1-3; Prato, Italy. p. 714-723.Rights: San Pedro, J., Burstein, F., Cao, P., Churilov, L., Zaslavsky, A., and Wassertheil, J. © 2004. The authors grant a non-exclusive licence to publish this document in full in the DSS2004 Conference Proceedings. This document may be published on the World Wide Web, CD-ROM, in printed form, and on mirror sites on the World Wide Web. The authors assign to educational institutions a non-exclusive license to use this document for personal use and in courses of instruction provided that the article is used in full and this copyright statement is reproduced. Any other usage is prohibited without the express permission of the authors. |
