A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments

Authors
  • K.B.K. Tan
  • S.Y. Loo
  • I.S.Y. Chua
  • J.L.J. Quah
  • W. Cai
  • M.E.H. Ong
Publication date 2021
Host editors
  • S. Kim
  • B. Feng
  • K. Smith
  • S. Masoud
  • Z. Zheng
  • C. Szabo
  • M. Loper
Book title 2021 Winter Simulation Conference (WSC 2021)
Book subtitle Phoenix, Arizona, 12-15 December 2021
ISBN
  • 9781665433129
ISBN (electronic)
  • 9781665433112
Event 2021 Winter Simulation Conference, WSC 2021
Pages (from-to) 1583-1594
Number of pages 12
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
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.

Document type Conference contribution
Language English
Published at https://doi.org/10.1109/WSC52266.2021.9715522
Other links https://www.proceedings.com/62759.html https://www.scopus.com/pages/publications/85126093523
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