Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

RESOURCES SCHEDULING IN THE EMERGENCY DEPARTMENT USING SIMULATION IN DISASTER CONDITIONS: CASE OF COVID-19

Domain:

healthcare

Record type:

paper
Creator:
CheAitBekDuv
Editor:
UniLabالج
Publisher:
CCSD
Host:avatar
International audience With the propagation of the Coronavirus (COVID-19), many researchers study the influence of this pandemic on the patient flow at the emergency department (ED). This article proposes a simulation model for the emergency department in the case of COVID-19 period. The model is based on real data. It allows monitoring system performances, like the Length of Stay (LOS), and the percentage of patients that are transferred to another hospital, and it helps managers to face the pandemic. After the validation of the model, we tested studied scenarios depending on the arrival rate and the percentage of patients arriving at the ED with symptoms related to COVID-19. Our contribution is resumed in the evaluation of the preparedness of participation of the studied hospital in the national program in case of an outbreak of Coronavirus (when the rate of arrival is high), so we suggested interventions include beds sharing and adding resources. This leads to minimizing the transfer rate of arrested, critical, and overall cases by 20.06 %, 33.38 %, and 5.98 %, respectively. Besides, the LOS is reduced by 63.43 %. The given results could be presented as recommendations for the managers of the ED to plan the resources in a suitable manner to minimize the transfer of patients in case of outbreaks of this pandemic in the future.

Visit

hal.science

Tags

Capacity managementEmergency departmentHealthcare systemsSimulationCOVID-19Capacity management[SPI.AUTO]Engineering Sciences [physics]/Automatic[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]

Licenses

info:eu-repo/semantics/OpenAccess

Similar

Simulation‐based optimisation approach to improve emergency department resource planning: A case study of Tunisian hospitalAn agent-based Decision Support System for resources' scheduling in Emergency Supply ChainsSimulation of the Third Wave of COVID 19 Infections in Zambia using the SIR ModelUnlawful Occupiers, Eviction and the National State of Disaster: Considering South Africa's Emergency Legislation and Jurisprudence During COVID-19Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms: The Case of Yekatit 12 Hospital Medical CollegeAccess to Pharmaceutical Patents in the COVID-19 Emergency: A Case for Government Use in Nigeria

Simulation‐based optimisation approach to improve emergency department resource planning: A case study of Tunisian hospital

International audience Abstract Background The emergency department (ED) is a gateway

An agent-based Decision Support System for resources' scheduling in Emergency Supply Chains

International audience We propose a multi-agent-based architecture for the management

Simulation of the Third Wave of COVID 19 Infections in Zambia using the SIR Model

Abstract Background Various mathematical modeling approaches are used to provide a robust

Unlawful Occupiers, Eviction and the National State of Disaster: Considering South Africa's Emergency Legislation and Jurisprudence During COVID-19

Abstract This article analyses how emergency regulations protected persons living in urban poverty,

Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms: The Case of Yekatit 12 Hospital Medical College

Background : The increasing burden of emergency department (ED) mortality in resource-constrained se

Access to Pharmaceutical Patents in the COVID-19 Emergency: A Case for Government Use in Nigeria

Abstract The COVID-19 pandemic has continued to exert enormous pressure on public health policies a