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    군 원격의료 시스템 운영관리 의사결정 최적화 = Optimizing Military Telemedicine System Operations Management Decision Making

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    https://www.riss.kr/link?id=A109634756

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    Purpose The purpose of this study is to optimize decision-making for military telemedicine systems, particularly in remote or combat areas where medical resources are limited. It aims to improve the level of medical welfare for soldiers by efficiently utilizing limited resources and responding actively to rapidly changing medical needs during wartime.
    Methods This study presents a mathematical optimization model using integer programming for remote medical scheduling and transportation vehicle allocation.
    Results The study provides an optimal solution for allocating telemedicine personnel, constructing communication network base stations, and determining the waiting location and number of transport means. It ensures that patients receive timely medical care within the "golden time" for optimal outcomes, considering factors like patient demand uncertainty and resource limitations.
    Conclusion The study concludes that the proposed optimization model and algorithm can enhance the level of medical welfare for soldiers in various units, including remote areas. It enables active responses to rapidly changing medical needs during wartime by efficiently utilizing limited resources.
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    Purpose The purpose of this study is to optimize decision-making for military telemedicine systems, particularly in remote or combat areas where medical resources are limited. It aims to improve the level of medical welfare for soldiers by efficiently...

    Purpose The purpose of this study is to optimize decision-making for military telemedicine systems, particularly in remote or combat areas where medical resources are limited. It aims to improve the level of medical welfare for soldiers by efficiently utilizing limited resources and responding actively to rapidly changing medical needs during wartime.
    Methods This study presents a mathematical optimization model using integer programming for remote medical scheduling and transportation vehicle allocation.
    Results The study provides an optimal solution for allocating telemedicine personnel, constructing communication network base stations, and determining the waiting location and number of transport means. It ensures that patients receive timely medical care within the "golden time" for optimal outcomes, considering factors like patient demand uncertainty and resource limitations.
    Conclusion The study concludes that the proposed optimization model and algorithm can enhance the level of medical welfare for soldiers in various units, including remote areas. It enables active responses to rapidly changing medical needs during wartime by efficiently utilizing limited resources.

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