基于电子健康记录的数据分析和解释的挑战和机遇
Michelle Kang Kim1, Carol Rouphael1, John McMichael2
1Department of Gastroenterology, Hepatology, and Nutrition, Digestive Disease and Surgery Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Gut and liver
|October 31, 2023
概括
电子健康记录 (EHR) 为研究提供了有价值的现实数据,但也带来了挑战. 解决数据质量,异质性和缺失信息对于可靠的临床研究至关重要.
科学领域:
- 临床信息学 临床信息学
- 医疗保健服务研究 医疗服务研究
- 在医疗保健中的数据科学.
背景情况:
- 电子健康记录 (EHR) 在美国临床实践中越来越多地被使用.
- 电子健康记录为大量患者群体提供了广泛的纵向真实世界数据.
- 这些数据对临床研究和将研究结果转化为实践非常有价值.
研究的目的:
- 批判性地评估电子健康记录中可用的数据类型.
- 描述数据异质性,质量和可概括性对研究的影响.
- 识别和讨论电子健康记录数据质量的挑战,错误和偏见.
主要方法:
- 审查EHR数据的特性和临床研究的局限性.
- 分析数据异质性,质量问题和概括性问题.
- 检查EHR数据中的潜在错误和偏差来源.
主要成果:
- 电子病历数据提供了显著的优势,但具有固有的局限性.
- 缺少数据,异质性和质量问题可能会引入错误和偏见.
- 这些因素可能会影响队列代表性和结果准确性.
结论:
- 在分析之前和分析期间,对电子健康记录数据质量,异质性和可概括性的彻底评估至关重要.
- 了解和解决潜在的偏见和错误对于强大的临床研究至关重要.
- 需要采取主动策略,以确保在研究中确保电子健康记录数据的完整性和适当使用.
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