Modeling the Healthcare Services in Hilla Emergency Department

Abstract

Emergency department (ED) represents a crucial and suitable for most patients' emergency cases at any time. It is extremely associated health services dedicated mostly to treat the arriving patient's with uncertain illnesses and without previous appointment. Patient flow sequences represent a very complex process due to the different uncertain requirements and different possible paths that patients may guide to follow to complete his/her treatment. This study aims to maximize the patient's throughput, minimize their waiting times and optimize the resources utilization. The methodology that followed in this study is to estimate the optimal required ED staff's number, which involves nurses, doctors, and receptionist, lab and x-ray technician. Patients were modeled as agents having an ability to interact with others and with staffs and to select whether to be patience and wait in queue then stay in the system or decide to leave at any stage of the treatment process. The simulation results is implemented according to the real collected data and the managers experiences about the averages of arrival and service rates with flow sequence probabilities. Waiting and idle times for the patients and staffs showed a good indication about the quality of services.