电子健康记录数据质量评估和工具:系统审查
Abigail E Lewis1,2, Nicole Weiskopf3, Zachary B Abrams2
1Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
概括
最近的研究表明,关于电子健康记录 (EHR) 数据质量评估的出版物增加了. 虽然常见的维度如完整性被持续评估,但对EHR数据质量的标准化方法仍然难以捉摸,这凸显了需要可扩展的指南的需要.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 医疗记录管理 医疗记录管理
背景情况:
- 电子健康记录 (EHR) 对医疗保健提供和研究至关重要.
- 评估EHR数据的质量对于可靠的临床决策和研究成果至关重要.
- 2013年的一项文献综述确定了电子健康记录数据质量评估的基线方法.
研究的目的:
- 通过检查EHR数据质量评估方法和工具的最新进展,更新2013年审查.
- 确定EHR数据质量领域的新兴趋势,维度和方法.
主要方法:
- 对2013年至2023年4月期间发表的PubMed文章进行系统审查.
- 根据数据质量维度,工具和意见文章对论文进行选和分类.
- 代抽象和定义额外的主题和方法.
主要成果:
- 自2013年以来,关于EHR数据质量评估的出版物显著增加.
- 完整性,正确性,一致性,可信性和货币性仍然是最常被评估的数据质量维度.
- 符合性和偏差被确定为额外的数据质量维度,结构性协议作为新方法.
结论:
- 尽管研究增加了,但对于电子健康记录数据质量评估的标准化方法仍然缺乏.
- 需要可扩展和灵活的指导方针来提高EHR数据质量评估的效率,透明度,可比性和互操作性.
- 自动化可能会促进对EHR数据质量评估的概括方法.
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