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从全企业范围的临床数据马拉松中学到的经验教训。

Lessons learned from an enterprise-wide clinical datathon.

作者信息

Zimolzak Andrew J, Davila Jessica A, Punugoti Vamshi, Balasubramanyam Ashok, Klotman Paul E, Petersen Laura A, Rochat Ryan H, Liao Gloria, Laubscher Rory R, Leiber Lee, Amos Christopher I

机构信息

Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX, USA.

出版信息

J Clin Transl Sci. 2022 Aug 24;6(1):e125. doi: 10.1017/cts.2022.450. eCollection 2022.

Abstract

In 2020, Baylor College of Medicine held a datathon to inform potential users of a new data warehouse, allow users to address clinical questions, identify warehouse capabilities and limitations, foster collaborations, and engage trainees. Senior faculty selected proposals based on feasibility and impact. Selectees worked with Information Technology for 2 months and presented findings. A survey of participants showed diverse levels of experience, high perceived value of the datathon, high rates of collaboration, and significant increases in knowledge. A datathon can promote familiarity with a new data warehouse, guide data warehouse improvement, and promote collaboration.

摘要

2020年,贝勒医学院举办了一场数据马拉松活动,目的是让新数据仓库的潜在用户了解相关信息,让用户解决临床问题,识别仓库的功能和局限性,促进合作,并让实习生参与其中。资深教员根据可行性和影响力来挑选提案。入选者与信息技术部门合作了两个月,并展示了研究结果。对参与者的一项调查显示,他们的经验水平各不相同,对数据马拉松的感知价值很高,合作率很高,知识也有显著增加。数据马拉松可以促进对新数据仓库的熟悉程度,指导数据仓库的改进,并促进合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda0/9794964/0b30cd0bf677/S2059866122004502_fig1.jpg

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