Analysis of Patient Flow Using Discrete Event Simulation for An Emergency Room: A Case Study of Bhim Hospital Rupandehi, Nepal

Abstract
The Emergency Room experiences a daily influx of patients, putting significant strain on departmental resources. Concurrently, treatment duration for patients has risen, leading to dissatisfaction and prolonged wait times. Hospital management is exerting maximum effort within existing resources to mitigate these issues, with a primary focus on reducing wait times. To address these challenges, a Discrete Event Simulation is employed to simulate real-world scenarios and identify optimal solutions for reducing length of stay, wait times, and other contributing factors, thus bolstering the foundation for robust decision-making. Bhim Hospital's Emergency Room serves as the case study, assessing wait times, length of stay, and bed utilization. Experimental scenarios are applied to the model, aiding the hospital management team in decision-making processes. Selection and rejection of strategies are based on paired test analyses, comparing real-world hospital data with results generated by the simulation model. Given the feasibility of all scenarios in decreasing length of stay, and bed occupancy rates, the results are recommended to the hospital for implementation. The time to stay for Red zone, Green zone and Yellow zone patients is 6 hours according to hospital data and simulation suggest of 3,4 and 5 hours respectively, this also suggest on decreasing of length of stay in the hospital
Description
The Emergency Room experiences a daily influx of patients, putting significant strain on departmental resources. Concurrently, treatment duration for patients has risen, leading to dissatisfaction and prolonged wait times. Hospital management is exerting maximum effort within existing resources to mitigate these issues, with a primary focus on reducing wait times.
Keywords
Emergency Room, Physician, Health Assistant, Discrete Event Simulation
Citation