Weng Chunhua
Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Biostat Epidemiol. 2020;4(1):6-14. doi: 10.1080/24709360.2019.1572344. Epub 2019 Feb 23.
Clinical data is the staple of modern learning health systems. It promises to accelerate biomedical discovery and improves the efficiency of clinical and translational research but is also fraught with significant data quality issues. This paper aims to provide a life cycle perspective of clinical data quality issues along with recommendations for establishing appropriate expectations for research based on real-world clinical data and best practices for reusing clinical data as a secondary data source.
临床数据是现代学习型健康系统的支柱。它有望加速生物医学发现并提高临床和转化研究的效率,但也充满了重大的数据质量问题。本文旨在从生命周期的角度审视临床数据质量问题,并就基于真实世界临床数据的研究建立适当预期以及将临床数据作为二次数据源进行重用的最佳实践提出建议。