文章摘要
谢刚.基于未确知测度理论的多科性医院医疗大数据治理能力成熟度评价[J].技术经济,2019,38(9):.
基于未确知测度理论的多科性医院医疗大数据治理能力成熟度评价
Capability maturity evaluation of medical big data governance inmultidisciplinary hospitals based on unascertained measure theory
投稿时间:2019-08-24  修订日期:2019-09-19
DOI:
中文关键词: 医疗大数据  大数据治理  能力成熟度评价
英文关键词: medical big data  big data governance  capability maturity assessment
基金项目:本文系江苏省高校哲学社会科学研究项目“基于医疗大数据的智慧医疗商业模式构建与对策研究”(2016SJB630095)的研究成果之一。
作者单位E-mail
谢刚 江苏大学 xiegang186@ujs.edu.cn 
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中文摘要:
      为实现对多科性医院大数据治理水平的分析和评估,在数据管理成熟度模型和能力成熟度模型基础上,构建多科性医院大数据治理能力成熟度评价模型。将医院大数据治理能力成熟度分为初始级、程序级、规范级、管理级和优化级五个等级,基于医院内部大数据治理特征,建立包括三级指标的成熟度评价指标体系。然后,分别用客观赋权法及组合赋权法确定各指标权重,并结合未确知测度理论和评价方法,量化评估两个三甲多科性医院大数据治理能力的成熟度。结果表明,两种赋权方法下两家医院的大数据治理能力水平均处于规范级,与两家医院大数据治理的实际情况相吻合。未确知测度理论与信息熵权相结合,可以平衡指标测量主观性和评价结果稳定性,建立的模型能为多科性医院大数据治理提供具有参考价值的决策信息。
英文摘要:
      In order to realize the analysis and evaluation of big data governance level in multidisciplinary hospitals,an evaluation model of big data governance capability maturity was built on the basis of data management maturity model and capability maturity model. Hospital capability maturity of big data governance is divided into five levels:initial level,program level,standard level,management level and optimization level. Based on the characteristics of hospital internal big data governance,We established a maturity evaluation index system including three indicators。Then, the objective weighting method and the combined weighting method were used to determine the weight of each index,and the maturity of the big data governance ability of two triple-multidisciplinary hospitals was quantitatively evaluated by combining the unascertained measurement theory and evaluation method. The results showed that the big data governance of the two hospitals both achieve the normative level in the different methods,which is consistent with the actual situation of big data governance of the two hospitals. Because the subjectivity of index measurement and the stability of evaluation results are balanced, the model based the unascertained measurement theory together with information entropy can provide many valued information to multidisciplinary hospitals.
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