摘要
目的建立呼吸专科"医疗、教学、科研和人才培养"4个维度的精细化管理评价指标体系, 研发基于医疗大数据的精细化管理系统, 评价其应用效果。方法参考国内多个呼吸专科影响力排行榜的评价指标及文献, 采用头脑风暴法、两轮德尔菲法及层次-熵权法, 建立了涵盖医疗(权重占比30%)、教学(15%)、科研(40%)和人才培养(15%)4个维度(一级指标)、16个二级指标及73个三级指标的指标体系;借助医疗大数据技术与信息化手段, 研发了相应的精细化管理系统, 并于2019年正式投入使用;使用1年后, 将该系统整合的2018年(使用前)和2019年(使用后)呼吸学科13个专业组、共248名成员4个维度的相关数据, 应用该系统内嵌的精细化指标体系进行统计分析, 以了解该系统应用前后两年间该学科4个维度的发展变化情况及各专业组间的变化情况。结果与2018年相比, 2019年呼吸学科整体综合得分增长率达30%;4个维度分项得分也呈增长态势, 其中, 科研方面增长最明显, 增长率高达136%, 其次为人才培养, 增长率为32%;并且13个专业组2019年的综合得分普遍高于2018年, 但增幅不同, 增长率为2%~135%。结论应用基于大数据技术的呼吸学科精细化管理系统, 实现了全面、直观和量化展示学科整体和各个专业组在医疗、科研、教学和人才培养4个维度的发展现状及专业组间的差异, 为学科高质量均衡发展提供了重要的决策参考。
Objective To establish an evaluation index system for the refinement management of respiratory specialties in four dimensions:medical care,teaching,scientific research and personnel training,to develop a refinement management system based on medical big data,and evaluate the effectiveness of its application.Methods Based on evaluation indexes and literature of several domestic respiratory specialty influence rankings,an index system covering four dimensions(primary indexes),16 secondary indexes and 73 tertiary indexes covering medical treatment(30%),teaching(15%),scientific research(40%)and personnel training(15%)was devised using brainstorming,Delphi,and hierarchical entropy weighting.Data from 13 professional groups and 248 respiratory discipline members integrated by the system in 2018 and 2019 were statistically analyzed using the refined index system embedded in the system to understand the system's application after a year of use with comparing the four dimensions of the discipline and the changes among specialty groups before and after implementation.Results In 2019,respiratory medicine's comprehensive score grew 30%compared to 2018.The subscores also grew,with scientific research showing the largest growth rate of 136%and talent cultivation showing the second highest.In 2019,ten of the 13 professional groups grew by 2%to 135%.Conclusions.An improved management system for respiratory medicine based on big data technology has provided a comprehensive,intuitive and quantitative view of the discipline's development in four dimensions and the differences among specialty groups.It will be an effective decision-making tool for ensuring high-quality and balanced discipline development.
作者
赵前前
梁立荣
童朝晖
Zhao Qianqian;Liang Lirong;Tong Zhaohuis(Information Center,Beijing Chaoyang Hospital,Capital Medical University,Beijing 10o020 China;Clinical Epidemiol-ogy Department(Tobacco Dependence Treatment Department),Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital,Capital Medical University,Beijing 100020,China;Department of Respiratory and Critical Care Medi-cine,Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital,Capital Medical University,Beijing 100020,China)
出处
《中华医学科研管理杂志》
2022年第4期314-320,共7页
Chinese Journal of Medical Science Research Management
关键词
学科建设
评估体系
精细化管理
医疗大数据
Discipline construction
Evaluation system
Delicacy management
Medical big data
