Modeling and Simulation of Wartime Casualty Surgical Treatment

Zhang, Kai; Wu, Ruichang; Yun-dou, Wang; Zhang, Xiaofeng; Du, Haizhou

doi:10.1007/978-3-642-38391-5_122

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…In their paper, using the simulation experiment model, a personal allocation was evaluated. Based on an investigation of the treatment procedure and medical data, Zhang et al (2013) created a model and used a discrete simulation tool to recreate the surgical care given to combat casualties. They also used Simio as their simulation platform.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Analysis of a Military Casualty Evacuation System

Proceedings of the International Conference on Industrial Engineering and Operations Management

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This paper aims to analyse several parameters of the casualty evacuation system and their effects through the simulation platform. A discrete event simulation (DES) model is used for the analysis. Five scenarios contemplating different fleets' prerequisites for survival, ambulance allocation and casualty treatment allocation parameters are used to test the performance of the military evacuation system. The result shows that change in parameters such as ambulance return time, redeployment time, transport duration etc., effects the time of evacuation as well as the time of resuscitation and damage control surgery. The percentage of casualties that required damage control surgery that received it within the required time is on average, 63.78 % and the waiting time for bed is 0 minutes. In order to facilitate the evacuation of combat casualties, this simulation model supports decision-making. This analysis can also be used to support the resource allocation of the military casualty evacuation system.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation Analysis of a Military Casualty Evacuation System

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The future of military medical evacuation: literature analysis focused on the potential adoption of emerging technologies and advanced decision-analysis techniques

Biswas,

Turan,

Elsawah

et al. 2023

Journal of Defense Modeling & Simulation

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A fundamental component of any military medical support system is medical evacuation. The main goal of evacuation is to reduce mortality among critically injured combat casualties. To achieve this goal, several decision problems including, the location of medical treatment facilities, relocation, dispatching, and routing have to be effective across all levels (tactical, operational, and strategic). This study concentrates on the three key types of medical evacuation (MEDEVAC) systems—forward, tactical, and strategic—and the related decision problems. Even though, over the last few years, some review papers have discussed the different topics of MEDEVAC systems (e.g., the evolution of MEDEVAC, evacuation timelines, and types of injuries), no research has been conducted on the full range (i.e., total care pathway) of MEDEVAC systems and the adoption of emerging technologies to improve future MEDEVAC. In this paper, a systematic review of the literature is described, including the decision problems involved in the total military medical evacuation process. This paper also reviews forecast challenges of future MEDEVAC and potential emerging technologies, concepts, and advanced decision-analysis methods to tackle these challenges. In future MEDEVAC processes, emerging technologies and concepts will be important to support improved medical capability; however, military planners will also need to adopt advanced decision-support techniques to efficiently employ these technologies.

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Modeling and Simulation of Wartime Casualty Surgical Treatment

Cited by 2 publications

References 4 publications

Simulation Analysis of a Military Casualty Evacuation System

Simulation Analysis of a Military Casualty Evacuation System

The future of military medical evacuation: literature analysis focused on the potential adoption of emerging technologies and advanced decision-analysis techniques

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