Strategic Resources Management In Health Care System: The ED case

An operational capacity management, in most acute hospitals, could aim to evaluate system features according to utilization rate, delivery time and costs analysis. Moreover, there is a significant potential into application of computer simulation tools in predicting and managing overcrowding and long waiting time. In the proposed network an optimizing multi-objective approach has been adopted for patients and staff scheduling problem. Performing cost’s analysis into treatments and policies, evaluating patient’s throughput and waiting time authors look for a complete system portrayal and evaluation of alternative management strategies. Linear programming, priority rules, timed queueing networks, jockeying from one queue to another, facilities layout have been treated to carry out the simulated environment. System flexibility, service level to patient, real time reaction to unexpected events have been analysed. The aim of the present work is to investigate, and improve, healthcare performances and scalability in a real system analysis (i.e., the Emergency Department environment). Simulation approach and system and patient performances analysis have been merged in order to support planning alternatives. Timed Queueing Petri nets, Fuzzy logic and constraint programming have been used into modelling treatment time and flow path definition. An Analytic Hierarchy Process (i.e., AHP) has been used into the decision making process.