复制的挑战:使用电子健康记录数据的方法可复制性的实践示例
Richard Williams1,2, Thomas Bolton3, David Jenkins1
1Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
PloS one
|July 18, 2025
概括
使用电子健康记录 (EHR) 复制研究是困难的. 对可信赖的研究环境 (TREs) 和安全的数据环境 (SDEs) 的建议旨在提高电子健康报告研究的数据和方法可重复性.
科学领域:
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
- 观测研究 观测研究
背景情况:
- 复制性在科学中至关重要,但使用电子健康记录 (EHR) 数据复制观察研究带来了独特的挑战.
- 困难来自于数据访问的复杂性,电子健康记录系统的变化以及潜在的未解决的混变量.
研究的目的:
- 在使用EHR数据的复制研究中识别方法可重复性的障碍.
- 提出可行的建议,以提高基于EHR的研究的可复制性.
主要方法:
- 复制了一项关于糖尿病和COVID-19住院风险的研究,使用来自英格兰NHS安全数据环境 (SDE) 的EHR数据.
- 将发现和方法与使用大曼彻斯特数据的原始研究进行了比较.
- 记录和分类在可信的研究环境 (TREs) 和SDEs中遇到的挑战.
主要成果:
- 确定了几种方法可重复性的挑战,这些挑战来自TRE/SDEs和数据源的微小差异.
- 建议建议包括改进机器可读元数据,为联合分析提供标准化治理,强制性代码共享和专用支持结构.
- 引入了"数据可重复性"概念作为一个独特的研究领域.
结论:
- 即使在完全共享代码的情况下,数据可复制性仍然是一个重大挑战.
- 实施拟议的建议可以降低复制研究的障碍,从而增加EHR观察研究的价值.
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