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DOI: 10.1055/a-2547-5208
Surveying the Efficacy of an Open Access Biomedical Informatics Boot Camp
Funding This work has been supported in part by grants from NIH NLM T15LM012495, R25LM014213, NIAAA R21AA026954, R33AA0226954, and NCATS UL1TR001412. This study was funded in part by the Department of Veterans Affairs.

Abstract
Objective
This study aimed to assess the efficacy of a biomedical informatics boot camp with regard to improving the skill sets of its participants.
Methods
The University at Buffalo hosts a free, virtual biomedical informatics boot camp annually. Lectures covering various subject matters are offered, for example, general programming, machine learning, natural language processing, and clinical decision support. Once the 2023 boot camp had concluded, an anonymous voluntary survey was distributed.
Results
Seventy percent of the survey respondents indicated that they agreed that their expectations were met. Eighty-two percent of the respondents indicated that our JupyterHub and the associated educational coding materials are useful tools for learning. Free response answers showed a desire for additional hands-on courses over theoretical lectures.
Conclusion
The results were overwhelmingly positive. Most respondents felt they had expanded upon their knowledge of informatics. The study also pointed out challenges, including keeping difficulty levels appropriate for an audience with diverse educational backgrounds.
Keywords
education - clinical informatics - consumer health informatics - professional training - informatics specialistsProtection of Human and Animal Subjects
We submitted our work for ethical consideration by the Univeristy at Buffalo Institutional Review Board, who informed us that our study is considered a QI project and does not fit under the auspices of IRB approval requirements. Surveys were entirely anonymous and optional.
Publication History
Received: 17 October 2024
Accepted: 11 February 2025
Accepted Manuscript online:
28 February 2025
Article published online:
25 June 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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