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Lessons learned from an enterprise-wide clinical datathon.

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Journal of Clinical and Translational Science
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Baylor College of Medicine

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Area of Science:

  • Biomedical Informatics
  • Clinical Data Warehousing
  • Collaborative Research

Background:

  • Introduction of a new institutional data warehouse requires user engagement and training.
  • Datathons offer a practical approach to familiarize users with data resources.
  • Assessing the utility of datathons is crucial for optimizing data warehouse adoption.

Purpose of the Study:

  • To evaluate the effectiveness of a datathon in promoting the use of a new data warehouse.
  • To assess the impact of the datathon on user knowledge, collaboration, and data warehouse capabilities.
  • To identify the benefits of datathons for engaging trainees and fostering interdisciplinary collaboration.

Main Methods:

  • A datathon event was organized for potential users of a new data warehouse.
  • Faculty selected proposals based on feasibility and impact for participation.
  • Participants collaborated with IT over two months, culminating in findings presentation.
  • A post-event survey assessed participant experience, perceived value, collaboration, and knowledge gain.

Main Results:

  • Participants reported diverse experience levels but high perceived value from the datathon.
  • The event fostered high rates of collaboration among participants.
  • Significant increases in participant knowledge regarding the data warehouse were observed.
  • The datathon successfully identified data warehouse capabilities and limitations.

Conclusions:

  • Datathons are effective in promoting familiarity and engagement with new data warehouses.
  • This approach can guide data warehouse improvement and enhance collaborative research efforts.
  • Datathons serve as a valuable tool for training and fostering a data-driven culture in academic medicine.