[1]姬宇虹,韩雪飞,田小亨,等.基于医疗大数据的大型医疗设备绩效考核的可行性分析[J].中国医学物理学杂志,2017,34(11):1180-1184.[doi:DOI:10.3969/j.issn.1005-202X.2017.11.019]
 JI Yuhong,HAN Xuefei,TIAN Xiaoheng,et al. Feasibility of medical big data-based performance evaluation for large medical equipment[J].Chinese Journal of Medical Physics,2017,34(11):1180-1184.[doi:DOI:10.3969/j.issn.1005-202X.2017.11.019]
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基于医疗大数据的大型医疗设备绩效考核的可行性分析()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
34卷
期数:
2017年第11期
页码:
1180-1184
栏目:
医学信号处理与医学仪器
出版日期:
2017-11-20

文章信息/Info

Title:
 Feasibility of medical big data-based performance evaluation for large medical equipment
文章编号:
1005-202X(2017)11-1180-05
作者:
 姬宇虹1韩雪飞1田小亨1赵恺2
 1.榆林市第二医院设备科, 陕西 榆林 719000; 2.徐州医科大学, 江苏 徐州 221000
Author(s):
 JI Yuhong1 HAN Xuefei1 TIAN Xiaoheng1 ZHAO Kai2
 1. Department of Equipment Maintenance, Yulin Second Hospital, Yulin 719000, China; 2. Xuzhou Medical University, Xuzhou 221000, China
关键词:
 大型医疗设备医疗大数据绩效考核可行性
Keywords:
 Keywords: large medical equipment medical big data performance evaluation feasibility
分类号:
R195
DOI:
DOI:10.3969/j.issn.1005-202X.2017.11.019
文献标志码:
A
摘要:
 【摘 要】 目的:基于医疗大数据,通过对乙类大型医疗设备使用现状调查,初步探讨对大型医疗设备采用绩效考核制度的可行性。 方法:选取榆林市第二医院设备科管理的所有乙类大型医疗设备,包括CT、MRI、DSA、SPECT、LA。对所有设备连续记录1年设备利用情况和医师及患者设备使用满意度情况,包括综合年开机率、年能力利用率、年收益、医师满意度评分和患者满意度评分5个考核指标,构建一个大型医疗设备绩效考核的简易综合评价模型。 结果:所有设备的年开机率由高到低分别为:CT、SPECT、MRI、DSA、LA,其中SPECT和MRI相比,差异不具有统计学意义(P=0.703)。年能力利用率由高到低分别为:CT、MRI、DSA、SPECT、LA,差异具有统计学意义(P<0.001)。年收益由高到低分别为:CT、MRI、DSA、SPECT、LA,差异具有统计学意义(P<0.001)。医师设备使用满意度评分由高到低分别为:CT、DSA、SPECT、MRI、LA,除CT与MRI外,差异均无统计学意义。患者设备使用满意度评分由高到低分别为:LA、CT、SPECT、MRI、DSA,其中DSA与其余设备相比差异均有统计学意义,其余两两比较差异均无统计学意义。所有乙类大型医疗设备的综合绩效评估得分排名由高到低分别为:CT、MRI、SPECT、DSA、LA。 结论:采用初步建立的大型医疗设备绩效考核综合评价模型对所有乙类大型医疗设备进行绩效考核结果,与该院实际设备使用现状基本相符,此模型方法简单,操作简便,科学合理,值得进一步探究。
Abstract:
 Abstract: Objective To explore the feasibility of using the performance evaluation system for assessing large medical equipment usage based on medical big data derived from a survey of the operations of B type large medical equipment. Methods All the B type large medical equipment (CT, MRI, DSA, SPECT and LA) in Yulin Second Hospital were surveyed for equipment usage and for the satisfaction scores rated by physicians and patients in one year. We established a comprehensive evaluation model for assessing the performance of large medical equipment by incorporating 5 assessment indicators, namely the annual operation rate, annual capacity utilization rate, annual income, physician satisfaction score and patient satisfaction score. Results The rank of annual operation rates of the large medical equipment, from high to low, was CT, SPECT, MRI, DSA and LA, and the rates were similar between SPECT and MRI (P=0.703). The annual capacity utilization rates of the equipment decreased significantly in the order of CT, MRI, DSA, SPECT and LA (P<0.001). The annual income was the highest with CT, followed by MRI, DSA, SPECT and LA (all P<0.001). CT had the highest physician satisfaction score, followed then by DSA, SPECT, MRI and LA, but the differences were not statistically significant except for that between CT and MRI. The patient satisfaction scores lowered in the order of LA, CT, SPECT, MRI and DSA, but the differences were not statistically significant except for those between DSA and other equipment. The comprehensive performance evaluation showed that the overall scores of these B type large medical equipment decreased in the order of CT, MRI, SPECT, DSA and LA. Conclusion The results of the comprehensive evaluation model for performance evaluation of the B type large medical equipment are basically consistent with the current situation of equipment usage. This model is simple, easy to operate, scientific and valid for evaluating the performance of large medical equipment.

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备注/Memo

备注/Memo:
 【收稿日期】2017-05-22
【基金项目】江苏省“六大人才高峰”高层次人才基金(2012-WSN-082)
【作者简介】姬宇虹,科长,研究方向:医疗设备维修及管理,E-mail: yangxinlidr@163.com
更新日期/Last Update: 2017-11-23