Review: electronic health records and the reliability and validity of quality measures: a review of the literature.
Review: electronic health records and the reliability and validity of quality measures: a review of the literature.
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DOI：
10.1177/1077558709359007
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发表时间：
2010-10-01
期刊：
影响因子：
--
通讯作者：
Weiner, Jonathan P
中科院分区：
文献类型：
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作者：
Chan, Kitty S;Fowles, Jinnet B;Weiner, Jonathan P
以往对电子病历（EHR）数据质量的研究综述并未关注质量测量的需求。作者回顾了2004年1月以来发表的电子病历数据质量的实证研究，重点介绍了与质量测量相关的数据属性。在35项研究中，有许多研究考察了数据质量的多个方面。66%评估数据准确性，57%评估数据完整性，23%评估数据可比性。该文献研究的数据元素、研究环境、人群、健康状况和电子病历系统的多样性使得得出关于电子病历数据质量的具体结论具有挑战性。未来的研究应侧重于特定电子病历组件的数据质量和质量度量的重要数据属性，如粒度、时效性和可比性。最后，需要更好地了解与数据质量差或可变性有关的因素，并制定有效的干预措施。
Previous reviews of research on electronic health record (EHR) data quality have not focused on the needs of quality measurement. The authors reviewed empirical studies of EHR data quality, published from January 2004, with an emphasis on data attributes relevant to quality measurement. Many of the 35 studies reviewed examined multiple aspects of data quality. Sixty-six percent evaluated data accuracy, 57% data completeness, and 23% data comparability. The diversity in data element, study setting, population, health condition, and EHR system studied within this body of literature made drawing specific conclusions regarding EHR data quality challenging. Future research should focus on the quality of data from specific EHR components and important data attributes for quality measurement such as granularity, timeliness, and comparability. Finally, factors associated with poor or variability in data quality need to be better understood and effective interventions developed.