Lessons Learned From an Enterprise-Wide Clinical Datathon

Authors

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

Publication Date

1-1-2022

Journal

Journal of Clinical and Translational Science

DOI

10.1017/cts.2022.450

PMID

36590351

PMCID

PMC9794964

PubMedCentral® Posted Date

8-24-2022

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes

Keywords

Diffusion of innovation, technology assessment, biomedical, cooperative behavior, interdisciplinary communication, information systems

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.

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