基于EHR的多州疾病监测网络 (MENDS) 数据的验证和改善数据质量和代表性的影响
Katherine H Hohman1, Michael Klompas2, Bob Zambarano3
1National Association of Chronic Disease Directors, 101 W Ponce de Leon, Decatur, GA 30030 (khohman@chronicdisease.org).
Preventing chronic disease
|June 13, 2024
概括
数据验证对于改善公共卫生监测中的电子健康记录 (EHR) 数据质量至关重要. 基于EHR的多州疾病监测网络 (MENDS) 试点项目确定并解决了数据质量问题,以确保准确的慢性疾病流行率估计.
科学领域:
- 公共卫生监督 公共卫生监督
- 医疗信息学 医疗信息学
- 数据质量管理数据质量管理
背景情况:
- 现代化工作越来越多地利用电子健康记录 (EHR) 数据进行公共卫生监测.
- 电子健康记录数据流往往在完整性,准确性和代表性方面表现出差异,这给可靠的监控带来了挑战.
- 确保EHR数据的质量对于准确的公共卫生见解至关重要.
研究的目的:
- 开发和实施一个验证过程,以多个国家EHR为基础的疾病监测网络 (MENDS) 试点项目.
- 识别和解决影响从EHR数据获得的慢性疾病流行率估计数据的数据质量问题.
- 概述可以采取行动的步骤,以改善监控中的电子健康登记数据质量.
主要方法:
- 从2020年12月到2023年8月,对5个数据贡献组织的 MENDS 验证流程进行了审查.
- 开发协议以识别EHR数据库和数据提取,映射,集成和分析过程中的漏洞.
- 记录了源数据和数据处理问题的具体例子.
主要成果:
- 在EHR源数据和数据转换过程中确定了关键错误.
- 观察到的问题包括缺失的种族/族裔和邮政编码数据,重复或缺失的患者记录以及不可信的值.
- 强调数据质量差距对监控数据的影响.
结论:
- 数据验证对于提高基于EHR的监视估计的质量和准确性至关重要.
- MENDS验证过程证明了严格的数据质量检查的价值.
- 从这项试点项目中吸取的经验教训适用于更广泛的基于EHR的监控计划.
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