An Artificial Intelligence Based Application for Triage Nurses in Emergency Department, Using the Emergency Severity Index Protocol

Background: In this article we present i-TRIAGE, an intelligent decision support system to triage patients in an emergency department. i-TRIAGE is an intelligent system, which created in line with the guidelines of an international used triage protocol, named Emergency Severity Index. Aim: The aim was to create a user-friendly application to assist triage nurses in the procedure to get fast and correct triage decisions and in addition to suggest the most appropriate specialist doctor for each health problem, as there is no medical specialty or specialization of the emergency physician in the country. Also, it could be an educational triage scenarios tool for medical or nursing students. Methodology: A database of 616 triaged patients from the University Hospital of Patras in Greece, was used to develop and test the system. i-TRIAGE tested in two methods of artificial intelligence (machine learning, fuzzy logic). Results  The evaluation of the system was based on internationally used metrics and proved to have high success rates, especially in the application of fuzzy logic. Discussion  The research team believes that i-TRIAGE may in the future be a useful tool for all nurses in an emergency department, to assist triage decisions.

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