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JDR Vol.18 No.2 pp. 104-113
(2023)
doi: 10.20965/jdr.2023.p0104

Paper:

Modeling and Simulation of In-Hospital Disaster Medicine in a Mass Casualty Event for the Resilience Evaluation of BCPs

Mizuki Umemoto*1,†, Shunsuke Kadono*1, Taro Kanno*1, Kazumi Kajiyama*2, Sachika Sharikura*3, Ryoko Ikari*2, Masashi Yoneyama*3, and Sheuwen Chuang*4

*1The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Corresponding author

*2Kitasato University Hospital, Sagamihara, Japan

*3Showa University Hospital, Tokyo, Japan

*4Taipei Medical University Hospital, Taipei, Taiwan

Received:
August 30, 2022
Accepted:
November 17, 2022
Published:
February 1, 2023
Keywords:
disaster prevention, earthquake, business continuity planning (BCP), mass casualty incident
Abstract

In this study, we developed a simulation model of detailed in-hospital disaster response to a mass casualty incident based on the analysis of related documents and actual in-hospital disaster response training, aiming to assess the hospital’s response capacity under various disaster situations. This simulation model includes detailed models of patients, floor configurations, resources, and response tasks, which consider resource requirements for the treatment of different patients with various injuries and physical conditions. The model covers patients’ arrivals to hospitalization or discharge. We conducted simulations of the target hospital to test two resource allocation strategies under two patient scenarios. By comparing the results under different resource allocation strategies, we found that the X-ray photography examination capacity could become a fundamental bottleneck in responding to mass casualty incidents. Also, we found that the appropriate resource allocations and quick replenishment could alleviate the negative effect of resource shortages and maintain a higher performance. Furthermore, the results show that the length of stay can be heavily affected by the patients’ configuration. As a result, by monitoring and anticipating the situation, a resilient and responsive resource allocation strategy must be prepared to handle such uncertain disaster situations.

Cite this article as:
M. Umemoto, S. Kadono, T. Kanno, K. Kajiyama, S. Sharikura, R. Ikari, M. Yoneyama, and S. Chuang, “Modeling and Simulation of In-Hospital Disaster Medicine in a Mass Casualty Event for the Resilience Evaluation of BCPs,” J. Disaster Res., Vol.18 No.2, pp. 104-113, 2023.
Data files:
References
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