Approach for optimized and dynamic medical emergency management

This paper describes a new approach aiming at optimizing and improving the efficiency of the medical emergency services. The purpose is to optimize the use of human and material resources by assigning the appropriate doctor to each patient and as a result reduce costs and time reactivity. In order to do so, we tackled the problem as a dynamic vehicle routing problem within a time frame. We have developed a multi-agent simulator which includes an optimization module that is able to solve vehicle routing problems. We consider our approach as original since it consists of mixing artificial intelligence methods with classical heuristics. We consider it also as result oriented. Based on the Poisson process, we are able to simulate real situations and handle requests as soon as they are entered.