Abstract

Overcrowding is a major concern for the Emergency Department (ED) management at the public hospital under study. Although the number of patients in the Yellow Zone (YZ) of the department represents only 30% of the total visiting patient per day, the Key Performance Indicator (KPI) of the zone’s patients’ LOS (LOS) as well as waiting time are not achievable due to the resources constraints. Therefore, this paper discusses the application of Discrete Event Simulation (DES) approach on modeling the YZ’s daily operations. The model was developed using Arena software to assist the ED management to better understand their system behavior and causes for the high patients’ LOS and waiting time. The simulation outputs show that the bottleneck of the system is waiting for an available resource. A few scenarios were designed based on the discussion made with the ED management for possible improvement. The results show a significant reduction of 25% and 35% in the total average of patients’ LOS for the patients of the observation unit and the intensive unit respectively. Meanwhile, for the total average patients’ waiting time, the results show a reduction of 34% for the observation unit and 29% reduction for the intensive unit.

Highlights

  • IntroductionTo help the Emergency Department (ED) management in the decision-making process, the Discrete Event Simulation (DES) approach was proposed to develop the yellow zone (YZ)’s daily operations model

  • The Emergency Department (ED) understudy serves more than 150,000 patients annually and operates non-stop for 24 hours daily

  • There are 3 outcomes monitored in the simulation model as follows; total average patients’ LOS, total average patients’ waiting time and resources utilization rate

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Summary

Introduction

To help the ED management in the decision-making process, the Discrete Event Simulation (DES) approach was proposed to develop the YZ’s daily operations model. DES is proven to be the most efficient and cost-effective tool to apply modifications to the system without affecting the actual operations [3] It has been used widely in healthcare field especially in modeling the ED’s operations and for the analysis of patient flow [4, 5]. The objectives of this study are to model the system operations for better understanding, to determine the impact of resources to the ED’s KPIs and to provide possible improvement scenarios for system improvement.

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