Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156126
Title: A model-based analysis of evacuation strategies in hospital emergency departments
Authors: Su, Boyi
Kwak, Jaeyoung
Ahmad Reza Pourghaderi
Lees, Michael H.
Tan, Kenneth B. K.
Loo, Shin Yi
Chua, Ivan S. Y.
Quah, Joy L. J.
Cai, Wentong
Ong, Marcus E. H.
Keywords: Engineering::Computer science and engineering
Issue Date: 2021
Source: Su, B., Kwak, J., Ahmad Reza Pourghaderi, Lees, M. H., Tan, K. B. K., Loo, S. Y., Chua, I. S. Y., Quah, J. L. J., Cai, W. & Ong, M. E. H. (2021). A model-based analysis of evacuation strategies in hospital emergency departments. 2021 Winter Simulation Conference (WSC). https://dx.doi.org/10.1109/WSC52266.2021.9715522
Project: NRF2017VSG-AT3DCM001-031 
Abstract: Evacuation planning for emergency incidents is an essential preparedness for Emergency Departments (ED) which normally contains patients with severe illness and limited mobility. However, the preparedness can be challenging due to a lack of empirical data and difficulties conducting physical drills. We propose an agent-based model to simulate the evacuation process in the EDs containing medical staff, rescuers, visitors and various types of patients. In a case study, we apply the model to a peak hour scenario of the ED of the largest hospital in Singapore. Two rescue strategies with different behavior sequences of medical staff as suggested by the practitioners are evaluated. The simulation results show that prioritizing preparation of all the patients generates less total evacuation time but leads to fewer evacuated cases in the first 20 minutes and more serious congestion compared to one-by-one transfer of individual patients.
URI: https://hdl.handle.net/10356/156126
ISBN: 978-1-6654-3311-2
ISSN: 1558-4305
DOI: 10.1109/WSC52266.2021.9715522
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/WSC52266.2021.9715522.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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