反事实思维
损害赔偿
大规模伤亡
大规模伤亡事件
地铁列车时刻表
调度(生产过程)
计算机科学
医疗急救
运营管理
运筹学
医学
毒物控制
自杀预防
工程类
心理学
社会心理学
政治学
法学
操作系统
作者
Ye Shi,Nan Liu,Guohua Wan
出处
期刊:Operations Research
[Institute for Operations Research and the Management Sciences]
日期:2023-11-02
被引量:3
标识
DOI:10.1287/opre.2021.0310
摘要
Treatment Planning for Mass Casualty Incidents The existing emergency response guidelines emphasize prioritizing the treatment of victims with initially critical health conditions, but tend to overlook the potential deterioration of less critical victims. Such deterioration can result in prolonged treatment times and irreversible health damages. In “Treatment Planning of Victims with Heterogeneous Time Sensitivities in Mass Casualty Incidents,” Shi, Liu, and Wan draw insights from a unique data set containing timestamps of surgeries conducted in a field hospital established in response to a large-scale earthquake. They develop scheduling models to enhance treatment planning for mass casualty incidents. They identify conditions under which victims with less critical initial conditions may have higher or lower priority than their counterparts in an optimal schedule, aiming to do the greatest good for the greatest number. Through a counterfactual analysis utilizing their data set, the authors demonstrate that implementing their model could significantly reduce surgical makespan, overdue cases, and victim deterioration compared with the previously employed treatment plan.
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