Modeling to Optimize Hospital Evacuation Planning in EMS Systems

Abstract

Objective: To develop optimal hospital evacuation plans within a large urban EMS system using a novel evacuation planning model and a realistic hospital evacuation scenario, and to illustrate the ways in which a decision support model may be useful in evacuation planning. Methods: An optimization model was used to produce detailed evacuation plans given the number and type of patients in the evacuating hospital, resource levels (teams to move patients, vehicles, and beds at other hospitals), and evacuation rules. Results: Optimal evacuation plans under various resource levels and rules were developed and high-level metrics were calculated, including evacuation duration and the utilization of resources. Using this model we were able to determine the limiting resources and demonstrate how strategically augmenting the resource levels can improve the performance of the evacuation plan. The model allowed the planner to test various evacuation conditions and resource levels to demonstrate the effect on performance of the evacuation plan. Conclusion: We present a hospital evacuation planning analysis for a hospital in a large urban EMS system using an optimization model. This model can be used by EMS administrators and medical directors to guide planning decisions and provide a better understanding of various resource allocation decisions and rules that govern a hospital evacuation. © 2017 National Association of EMS Physicians.

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Disaster planning, Hospital evacuation, Optimization, System analysis, Decision support techniques, Emergency medical services, Hospitals, Hospitals, urban, Humans, Models, theoretical, Resource allocation, Transportation of patients, Clinical study, Doctor patient relation, Human, Medical director, Model, Decision support system, Emergency health service, Hospital, Patient transport, Procedures, Theoretical model

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