Abstract
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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