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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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