title: Optimization-based decision support to assist in logistics planning for hospital evacuations.
abstract: The evacuation of the hospital is a very complex process and evacuation planning is an important part of a hospital's emergency management plan. There are numerous factors that affect the evacuation plan including the nature of threat, availability of resources and staff the characteristics of the evacuee population, and risk to patients and staff. The safety and health of patients is of fundamental importance, but safely moving patients to alternative care facilities while under threat is a very challenging task. This article describes the logistical issues and complexities involved in planning and execution of hospital evacuations. Furthermore, this article provides examples of how optimization-based decision support tools can help evacuation planners to better plan for complex evacuations by providing real-world solutions to various evacuation scenarios.
authors.affiliation: Carilion Clinic, Roanoke, Virginia, USA.
authors.forename: Roger
authors.initials: R
authors.lastname: Glick
authors.forename: Douglas R
authors.initials: DR
authors.lastname: Bish
authors.forename: Esra
authors.initials: E
authors.lastname: Agca
mesh_terms: D004189:Disaster Planning / Q000458:organization & administration*; D004190:Disasters / Q000706:statistics & numerical data*; D006752:Hospital Planning / Q000458:organization & administration*; D006761:Hospitals; D006801:Humans; D014481:United States