J.M. Amiel is professor, Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Acad Med. 2024 Feb 1;99(2):131-133. doi: 10.1097/ACM.0000000000005479. Epub 2023 Oct 6.
In this issue of Academic Medicine , Thelen and colleagues present a thoughtful perspective on the emerging opportunity to use longitudinal educational data to improve graduate medical education and optimize the education of individual residents, and call for the accelerated development of large interinstitutional data sets for this purpose. Such applications of big data to medical education hold great promise in terms of informing the teaching of individuals, enhancing transitions between phases of training and between institutions, and permitting better longitudinal education research. At the same time, there is a tension between whose data they are and consequently how they ought to be used. This commentary proposes some practical, privacy and ethical, and philosophical considerations that need to be explored as early efforts to aggregate data across the medical education continuum mature and new efforts are undertaken.
在本期《学术医学》中，Thelen 及其同事就利用纵向教育数据改善研究生医学教育和优化个体住院医师教育的新机遇提出了深刻的观点，并呼吁为此目的加速开发大型机构间数据集。将大数据应用于医学教育在告知个体教学、加强培训阶段之间和机构之间的过渡以及允许更好的纵向教育研究方面具有巨大的潜力。同时，存在一个问题，即这些数据属于谁，以及应该如何使用。随着跨医学教育连续体的数据聚合的早期努力不断成熟，以及新的努力正在进行，本评论提出了一些需要探讨的实际的、隐私和伦理的以及哲学方面的考虑因素。
