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Analyzing the Efficacy of an Open Access Biomedical Informatics Boot Camp

  • SUNY Buffalo
  • University of Florida
  • Children's Hospital Los Angeles
  • University of Southern California

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Each summer, the University at Buffalo hosts a free, virtual biomedical informatics (BMI) boot camp. Lectures covering various subject matter areas are offered including, but not limited to: machine learning, natural language processing, programming, database queries, clinical decision support (CDS), and public and consumer health informatics. Once the 2023 boot camp had concluded, an anonymous, voluntary survey was offered to everyone who attended. The results of the boot camp were overwhelmingly positive with 70% of the survey participants indicating that they agreed that their expectations were met. 82% of the participants indicated that our JupyterHub and the educational coding materials stored on it are useful tools for the learning process. Qualitative analyses showed a desire for additional hands-on learning over theoretical lectures.

Original languageEnglish
Title of host publicationDigital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024
EditorsJohn Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou
PublisherIOS Press BV
Pages1545-1546
Number of pages2
ISBN (Electronic)9781643685335
DOIs
StatePublished - Aug 22 2024
Event34th Medical Informatics Europe Conference, MIE 2024 - Athens, Greece
Duration: Aug 25 2024Aug 29 2024

Publication series

NameStudies in Health Technology and Informatics
Volume316
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference34th Medical Informatics Europe Conference, MIE 2024
Country/TerritoryGreece
CityAthens
Period08/25/2408/29/24

Keywords

  • Bioinformatics
  • Computational Biology
  • Teaching Innovation

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