摘要
目的:研究医院应急医疗设备保障中心呼吸机的数量与全院应急呼吸机需求量的有效匹配,探讨应急保障医疗设备资源配置的合理性与经济性。方法:结合某部队三甲医院的实际需求确定模型主要参数,以完成常规任务量和缩小临床平均等待时间为目标,建立应急医疗设备的配送排队论模型。通过案例分析及与简易的均值法比较,验证排队论方法在呼吸机需求配置中的可行性和优势。结果:与简易的均值法相比,基于排队论的方法能综合多个参数定量分析给出合理的呼吸机配置方案。结论:基于排队论的方法配送任务完成率较高、临床等待时间明显缩短、呼吸机配置量趋于合理,对优化应急保障中心医疗设备购置决策和提高运行经济效益起到了一定作用。
Objective To study the matching of the number of ventilators in the hospital's emergency medical equipment support center with the hospital-wide demand for emergency ventilators,and to explore the rationality and economy of the allocation of emergency medical equipment.Methods The main parameters of the model were determined in relation to the actual demand of some tertiary grade A hospital of the PLA,then a queuing theory model was established for the allocation of emergency medical equipment,with the objective of completing the routine tasks and reducing the average clinical waiting time.The feasibility and advantages of the queueing theory approach in the allocation of ventilators were verified through case studies and the comparison with the simple mean value method.Results In contrast to the simple mean value method,the queueing-based approach allowed a quantitative analysis of multiple parameters to be combined to give a reasonable ventilator allocation scheme.Conclusion The queuing theory-based approach has a high task completion rate,significantly short clinical waiting time and rational allocation of ventilators,which contributes to optimizing medical equipment acquisition decisions and improving the economic efficiency of the operation of the emergency equipment support center.
作者
舒子芳
吕思敏
向逾
SHU Zi-fang;LYU Si-min;XIANG Yu(Department of General Surgery,Ba'nan People's Hospital of Chongqing,Chongqing 401320,China;Equipment Department,the Second Affiliated Hospital of Army Medical University,Chongqing 400037,China;Logistics Department,Ba'nan People's Hospital of Chongqing,Chongqing 401320,China)
出处
《医疗卫生装备》
CAS
2022年第1期76-79,84,共5页
Chinese Medical Equipment Journal
关键词
应急医疗设备保障中心
排队论
呼吸机
需求配置
医疗设备
emergency equipment support center
queuing theory
ventilator
demand configuration
medical equipment
