Lessons learned from an enterprise-wide clinical datathon.

Autor:	Zimolzak AJ; 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., Davila JA; 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., Punugoti V; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Balasubramanyam A; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Klotman PE; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Petersen LA; 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., Rochat RH; Texas Children's Hospital, Houston, TX, USA.; Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA., Liao G; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Laubscher RR; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Leiber L; Department of Medicine, Baylor College of Medicine, Houston, TX, USA., Amos CI; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Jazyk:	angličtina
Zdroj:	Journal of clinical and translational science [J Clin Transl Sci] 2022 Aug 24; Vol. 6 (1), pp. e125. Date of Electronic Publication: 2022 Aug 24 (Print Publication: 2022).
DOI:	10.1017/cts.2022.450
Abstrakt:	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. (© The Author(s) 2022.)
Databáze:	MEDLINE
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