Optimum Staff Leveling of Hospital Emergency Department Using a Simulation Based Approach

Subject Areas : medical documents

Amir Hossein Khoshbin ¹ , mohamad mhdi sepehri ² , Sedigh Raissi ³

1 - M.Sc Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Professor, Department of Engineering and Informatics, Tarbiat Modares University, Tehran, Iran
3 - Associate Professor, Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran

Received: 2017-05-06 Accepted : 2017-07-20 Published : 2017-08-23

Keywords: simulation based optimization, Hospital emergency department, Optimum Staff Leveling,

Abstract :

Introduction: Allocation of human resource properly can have an effective role in the hospital emergency departments cost performance. This research has been conducted to provide the optimal solution on staff leveling for emergency department of hospitals. Methods: This research is an applied research and deploys from analytic analysis. The population of study include patients referred to a given emergency department on Imam Reza Hospital in Tabriz at a period of three months in 1393. After analyzing the current patient workflow, required data concerning the patients’ inter-arrival time, cycle times in different stations gathered for 900 patients during three weeks. Based on such data, simulation models designed using the Arena software features and finally the model verified and validated. Then proposed linear programming model based on minimizing patients’ average stay time, helped to calculate optimum staff leveling. Results: Result of sensitivity analysis on DTDT, show that if operational budget of emergency department increased 10%, 20%, 30%; The LOS leads to 359,337,308 minutes. In the lower budget, this correlation is apparent and significant.  Conclusion: Simulation results revealed that increasing on the number of physicist has the most priority on extra investment. Also, the proposed simulation model helped the operating managers to get more sense on the effects of the relevant controllable factors to total efficiency on the emergency department; in simulated framework, without operational experience, examine intended scenarios and comparing results then select best solutions.

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