从数据作为产品的角度开发和应用医疗保健数据质量指标框架
Min Cai1,2, Xijie Huang2, Yijie Cao3
1Experimental Center of Data Science and Intelligent Decision Making, Hangzhou Dianzi University, Hangzhou, China.
Digital health
|March 16, 2026
概括
本研究引入了医疗保健数据质量指标框架 (HDQIF),以提高医疗保健中的数据作为产品 (DaaP) 的数据质量. 该框架评估和量化医疗保健数据质量,提高其价值和可用性.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 数据管理数据管理
- 健康数据质量 卫生数据质量
背景情况:
- 数据作为产品 (DaaP) 原则对医疗保健数据有价值,但数据质量差阻碍了实施.
- 在医疗保健中,有效的数据作为产品 (DaaP) 需要强有力的数据质量评估,以满足利益相关者的期望.
研究的目的:
- 开发一个医疗保健数据质量指标框架 (HDQIF),整合数据作为产品 (DaaP) 概念.
- 探索HDQIF中的指标之间的相互关系.
- 应用HDQIF用于定量医疗数据质量评估.
主要方法:
- 这是一种混合方法,涉及基础理论,德尔菲咨询,决策试验和评估实验室和对抗性解释结构建模 (DEMATEL-AISM),以及分析网络过程和模糊综合评估 (ANP-FCE).
- 开发和修订一个专门的HDQIF,包含16个指标.
- 应用DEMATEL-AISM来绘制指标相互关系和ANP-FCE用于定量评估.
主要成果:
- 建立了一个由16个独特指标组成的医疗数据质量指标框架 (HDQIF).
- 通过DEMATEL-AISM分析,通过影响力关系图和拓层次结构,确定了关键指标及其相互关系.
- 该ANP-FCE方法成功验证了框架的定量评估能力,并通过案例研究证实了这一点.
结论:
- 在数据作为产品 (DaaP) 背景下,HDQIF提供了评估医疗保健数据质量的综合框架.
- 结果为医疗保健组织提供了洞察力,以提高数据质量.
- 未来的研究应该专注于为各种医疗数据产品调整HDQIF.
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