Mobile decision support for triage in emergency departments

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.