In this paper we propose a model for intelligent multiattribute decision support for triage. Triage is a preliminary clinical assessment of a patient aimed at categorising the treatment category according to priority level or urgency. Our model uses a combination of rule-based reasoning and multiattribute decision-making to assist a nurse in selecting the best treatment category for a patient. Our proposed model potentially can address the issues of accuracy, consistency and timeliness in triage decisions.
Presented at: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 2004 Jul 4-9; Perugia, Italy. 8 leaves.