An ILP approach to medical resource allocation after mass-casualty incidents and evaluation of disaster simulation exercises

Rogetzer, P. B. (Invited speaker), Demirtas, D. (Contributor), Gelbrich R.B. Holsbrink (Contributor), Nancy ter Bogt (Contributor)

Activity: Talk or presentationInvited talk

Description

During a mass-casualty incident (MCI), treatment capabilities of the regional hospitals are overwhelmed. In the Netherlands, emergency care networks prepare their regions for an MCI by organizing analog simulation exercises called Emergo Train System (ETS) exercises. In 2019, two separate emergency medical teams simulated the allocation process of casualties to ambulances and hospitals during an MCI using ETS. The results differed significantly between the teams. Although
the ETS exercises are used worldwide, the optimal solutions are not known. In this research, we propose an Integer Linear Programming (ILP) model that allocates each casualty of an MCI to an ambulance and a hospital. We demonstrate the effectiveness of our model by comparing its results to the performance measures of the ETS exercises from 2019 and providing sensitivity analyses.
Period13 Jul 2021
Event title31st European Conference on Operational Research: null
Event typeConference
LocationAthens, Greece
Degree of RecognitionInternational