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大规模伤亡事件医疗后送仿真模型构建与调度策略研究

罗佳 陈瑶

军事医学2025,Vol.49Issue(5):374-381,8.
军事医学2025,Vol.49Issue(5):374-381,8.DOI:10.7644/j.issn.1674-9960.2025.05.008

大规模伤亡事件医疗后送仿真模型构建与调度策略研究

A simulated model for medical evacuation amid mass casualties and scheduling strategies

罗佳 1陈瑶2

作者信息

  • 1. 解放军陆军第九五○医院医疗保障中心,新疆喀什 844900
  • 2. 解放军陆军第九五○医院护理部,新疆喀什 844900
  • 折叠

摘要

Abstract

Objective To establish a simulated model that can optimize strategies for medical evacuation in case of mass casualties,and to study the guidelines for centralized scheduling of evacuation vehicles.Methods A simulated model was constructed based on theories about discrete event simulation and on processes of medical evacuation.Evacuation processes under different scheduling strategies were simulated and quantitatively evaluated in terms of efficiency of evacuation and utilization of resources.The impact of key parameters on the medical evacuation system was analyzed.Results When the critically wounded were given priority,the rate of immediate treatment for the wounded was the highest(87.44%),and the median waiting time for the wounded was 23.70 min.In terms of utilization of resources,the strategy of prioritizing the critically wounded delivered the best result,with an average of 2.94 persons evacuated per vehicle and an overall rate of vehicle utilization was 50.93%.The daily number of the wounded and the number of evacuation vehicles made a big difference in the performance of the rescue system.Command and scheduling had to be dynamically optimizedas required so as to strike a balance between the efficiency of treatment and utilizationof resources.Conclusion This simulated model for medical evacuation in case of mass casualties,which is based on theories about discrete event simulation,is flexible enough toback up the simulation of strategy optimization.

关键词

医疗后送/仿真/调度策略/大规模伤亡事件

Key words

medical evacuation/simulation/scheduling strategy/mass casualty incident

分类

预防医学

引用本文复制引用

罗佳,陈瑶..大规模伤亡事件医疗后送仿真模型构建与调度策略研究[J].军事医学,2025,49(5):374-381,8.

军事医学

1674-9960

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