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MRI临床服务利用率评价研究 被引量:1

Clinical Service Utilization Evaluation Study of MRI
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摘要 目的:对MRI临床服务利用率进行客观评价,为MRI的配置管理提供依据。方法:对2013—2017年样本医院MRI的临床服务利用总体情况进行描述性分析;从场强、设备所在医院级别以及进口/国产三个维度对MRI的实际临床服务利用率进行对比分析。结果:MRI配置数量快速增加,单台设备负荷不断加重;不同场强MRI使用的功能界限不清,高端设备使用偏离初衷;二级医院MRI服务效率偏低,三级医院MRI负担较重;国产MRI配置数量增加,但实际服务效率远逊于进口设备。结论:加强对单台MRI理想工作负荷的科学测算;强化并明确不同场强MRI的功能分类,合理配置设备资源;加大政策扶持力度,提高国产MRI的功能与质量。 Objective To objectively evaluate the clinical service utilization rate of MRI and provide a basis for MRI configuration management.Methods Descriptive analysis was carried out on the overall clinical utilization of MRI in the sample hospitals from 2013 to 2017.The actual clinical service utilization rates of MRI were compared and analyzed from the three dimensions of field strength,hospital level and import/domestic status.Results The number of MRI configurations increased rapidly,and the load of single equipment increased continuously.The function boundaries of MRI used in different field strengths were unclear.The use of high-end equipment deviated from the original intention.The efficiency of MRI services in secondary hospitals was low,and the MRI burden of tertiary hospitals was heavy.The number of domestic MRI configurations has increased,but actual service efficiency was far less than imported equipment.Conclusion We should strengthen the scientific calculation of the ideal workload of one single MRI,strengthen and clarify the functional classification of different field strength of MRI,rationally allocate equipment resources,increase policy support and improve the function and quality of domestic MRI.
作者 杨毅 周星宇 魏艳 黄晓玲 张晨 程敬亮 陈英耀 YANG Yi;ZHOU Xing-yu;WEI Yan;HUANG Xiao-ling;ZHANG Chen;CHENG Jing-liang;CHEN Ying-yao(Key Laboratory of Health Technology Assessment of the Ministry of Health,School of Public Health,Fudan University,Shanghai 200032,China)
出处 《卫生经济研究》 北大核心 2020年第2期28-30,共3页
基金 国家重点研发计划“MRI设备及其临床应用评价研究”(2016YFC0106900)之专项课题“MRI服务体系评价研究”(2016YFC0106905)
关键词 MRI 临床服务 有效能力利用率 资源配置 MRI clinical services effective capacity utilization resource allocation
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