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#51 - Does Big Data Mean Big Evidence? episode artwork

May 7, 2024 37 min

#51 - Does Big Data Mean Big Evidence?

from The PAPERs Podcast Hosted by Jason Frank, Jonathan Sherbino, Linda Snell & Lara Varpio & PAPERs Podcast Crew

Can the calls for evidence-based improvement in HPE be answered by big national datasets? Do we know what works in HPE/meded? Does our training “work”? Is one institution or curriculum better than another? What does “better” mean anyway? Follow this discussion lead by Jason R. Frank that has taken on an article that analyse how datapoints from graduate medical education might be able to improve that same education. Is it possible? What are the implications? Hear what our hosts thinks. Episode article Thelen, A. E., George, B. C., Burkhardt, J. C., Khamees, D., Haas, M. R. C., & Weinstein, D. (2024). Improving Graduate Medical Education by Aggregating Data Across the Medical Education Continuum. Academic medicine : journal of the Association of American Medical Colleges, 99(2), 139–145. As always you find tull episode notes on the webpage PAPERs Podcast consist of Hosts: Lara Varpio, Jason Frank, Jonathan Sherbino, Linda Snell Technical Producer: Samuel Lundberg Web Manager: Alex Alexandersson Executive Producer: Teresa Sörö Production of Teaching and Learning at Karolinska Institutet

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#51 - Does Big Data Mean Big Evidence?

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