系统管理学报

系统管理学报 ›› 2023, Vol. 32 ›› Issue (6): 1336-1347.DOI: 10.3969/j.issn.1005-2542.2023.06.016

• 行业研究与案例研究 • 上一篇    

基于云模型和改进证据理论的大型医疗设备使用效率评价——以14家综合医院MRI设备为例

黄露莹1，黄清明1，2，李晶慧3，尤健3，金广予3，郑璐璐1，张海康1，沈兵1，3   

  1. 1.上海理工大学健康科学与工程学院，上海 200093；2.上海健康医学院医学影像学院，上海 201318；3.上海申康医院发展中心，上海 200041
  • 收稿日期:2022-09-05 修回日期:2023-02-21 出版日期:2023-11-28 发布日期:2023-12-01
  • 基金资助:

    上海理工大学医工交叉项目（10-21-302-405）；中国卫生经济学会卫生健康经济管理第二十二批重点研究课题（CHEA2122040102）；申康中心管理研究项目（2020SKMR-29）

Service Efficiency Evaluation of Large Medical Equipment Based on Cloud Model and Improved Evidence Theory: A Case Study of MRI Equipment in 14 Hospitals

HUANG Luying1, HUANG Qingming1, 2, LI Jinghui3, YOU Jian3, JING Guangyu3, ZHENG Lulu1, ZHANG Haikang1, SHEN Bing1, 3   

  1. 1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2. School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China; 3. Development Center, Shanghai Shenkang Hospital, Shanghai 200041, China
  • Received:2022-09-05 Revised:2023-02-21 Online:2023-11-28 Published:2023-12-01

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摘要：

为优化医院大型医疗设备配置，提高使用效率，避免设备闲置浪费、重复购置等问题，以14家医院MRI设备为例，提出了基于云模型和改进证据理论的大型医疗设备使用效率评价方法。首先，从运行效率、社会效益和成本管控3个维度，构建大型医疗设备使用效率评价指标体系；其次，应用云模型生成各评价指标隶属度，并转化为基本信度分配函数；再次，为降低证据间冲突，基于博弈思想改进证据理论，将动、静态权重进行博弈组合，通过组合权重值识别冲突证据并进行冲突修正和融合；最后，参考平均贴合度思想，比较评价对象与最优、最劣解的贴近值，从而得到综合评价结果。与云模型-模糊综合评价法和云模型-传统证据理论进行对比验证，该方法在解决证据冲突性和处理不确定性问题中具有优势，为提高大型医疗设备使用效率、优化配置提供决策依据。

关键词:

大型医疗设备, 综合评价, 云模型, 证据理论, 使用效率

Abstract:

In order to optimize the configuration of large medical equipment in hospitals, improve the use efficiency, and avoid issues such as idle waste and repeated purchases of equipment, a method for evaluating the use efficiency of large medical equipment based on cloud models and the improved evidence theory was proposed, taking MRI equipment from 14 hospitals as examples. First, an evaluation index system is constructed for the use efficiency of large medical equipment from three dimensions: operational efficiency, social benefits, and cost control. Then, the cloud model is applied to generate the membership degree of each evaluation index and convert it into a basic reliability allocation function. Afterwards, in order to reduce the conflict between evidence, the evidence theory is improved based on the game theory. The dynamic and static weights are integrated in the game, and the conflicting evidence is identified, corrected, and fused through the combination of weight values. Finally, by referring to the idea of average fit, the closeness values of the evaluated object is compared with the optimal and worst solutions, to obtain a comprehensive evaluation result. A comparison of the cloud model fuzzy comprehensive evaluation method with the cloud model traditional evidence theory indicates that this method has advantages in solving evidence conflicts and handling uncertainty problems, providing decision-making basis for improving the efficiency of large-scale medical equipment use and optimization configuration.

Key words:

 large medical equipment, comprehensive evaluation, cloud model, evidence theory, service efficiency

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