在使用电子医疗记录进行研究时了解数据来源:从提供初级医疗保健信息 (DELPHI) 数据库中吸取教训
Jason Edward Black1, Amanda L Terry1,2,3, Sonny Cejic1
1Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
International journal of population data science
|March 1, 2024
概括
评估电子病历数据质量对于研究至关重要. 一个软件变更影响了数据链接和可比性,突出了在初级保健研究中需要仔细评估数据来源的需要.
科学领域:
- 医疗信息学 医疗信息学
- 初级保健研究研究初级保健研究
- 数据质量管理数据质量管理
背景情况:
- 选择明智加拿大建议旨在减少不必要的医疗保健干预.
- 初级保健机构是实施基于证据的实践变革的关键领域.
- 评估指导方针的影响需要进行严格的数据分析.
研究的目的:
- 评估选择明智加拿大建议对减少初级保健中不必要的健康调查和干预措施的影响.
- 调查电子病历 (EMR) 数据的质量和来源,以进行纵向分析.
主要方法:
- 利用了提供初级医疗保健信息 (DELPHI) 数据库,其中包含来自近65,000名患者的非识别EMR数据.
- 检查了10年的数据 (2009-2019) 质量问题,专注于数据来源和可比性在2012-2013年EMR软件更改后.
- 采用概率链接来尝试不同EMR软件系统之间的记录链接.
主要成果:
- 2012年至2013年间,EMR软件发生了重大变化,导致数据质量问题.
- 观察到的挑战包括有限的记录链接,由于数据迁移而扭曲的程序日期,以及实验室测试和药物量的不寻常波动.
- 这些问题影响了纵向数据分析的可比性和可靠性.
结论:
- 这项研究强调了在启动研究项目之前评估数据来源和质量的关键重要性.
- 了解数据来源对于预测和减轻数据质量问题至关重要,特别是在纵向EMR数据分析中.
- 积极的数据质量评估至关重要,因为纵向数据分析在医疗保健研究中越来越普遍.
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