%0 Journal Article
%A Schwerdtfeger, Tobias
%A Brualla, Lorenzo
%T A Monte Carlo method for the quantitative analysis of triage algorithms in mass casualty events.
%J Physics in medicine and biology
%V 70
%N 10
%@ 0031-9155
%C Bristol
%I IOP Publ.
%M DKFZ-2025-00927
%P 105003
%D 2025
%X Objective.In mass casualty scenarios, efficient triage algorithms are used to prioritize medical care when resources are outnumbered by victims. This research proposes a computational approach to quantitatively analyze and optimize triage algorithms by developing a Monte Carlo code which is subsequently validated against the few quantitative data.Approach. The developed Monte Carlo code is used to simulate several mass casualty events, namely car accidents, burns, shootings, sinking ships and a human stampede. Four triage algorithms- modified simple triage and rapid treatment, primäres Ranking zur initialen Orientierung im Rettungsdienst, CareFlight, and field triage score (FTS)-are evaluated using metrics like mortality, overtriage, undertriage, sensitivity, and specificity.Main results.Results indicate that, on average, the analyzed algorithms achieve about 35
%K Triage: methods
%K Mass Casualty Incidents
%K Monte Carlo Method
%K Algorithms
%K Humans
%K Monte Carlo (Other)
%K disaster (Other)
%K mass casualty event (Other)
%K prehospital (Other)
%K simulation (Other)
%K triage (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40216003
%R 10.1088/1361-6560/adcbfc
%U https://inrepo02.dkfz.de/record/300807