Lessons learned from an enterprise-wide clinical datathon

Autor: Andrew J. Zimolzak, Jessica A. Davila, Vamshi Punugoti, Ashok Balasubramanyam, Paul E. Klotman, Laura A. Petersen, Ryan H. Rochat, Gloria Liao, Rory R. Laubscher, Lee Leiber, Christopher I. Amos
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Clinical and Translational Science, Vol 6 (2022)
Druh dokumentu: article
ISSN: 2059-8661
DOI: 10.1017/cts.2022.450
Popis: 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.
Databáze: Directory of Open Access Journals