Dr. Shauna Overgaard - Bridging the Code to Bedside Gap

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The MaML Podcast - Medicine & Machine Learning

Twitter - @themamlpodcast | TikTok - @maml_podcast

54 episodes

1 day ago

The MaML Podcast is brought to you by medical residents, grad students, and med students passionate about the new frontier of healthcare and AI. We feature interviews with prominent figures in industry, academia, and medicine. This podcast is designed for anyone with a budding interest in the field. Created by David JH Wu, Aaron Schumacher, and Saurin Kantesaria. Hosts: David JH Wu, Maddie Ahern, Nathan Keller Producer: Saurin Kantesaria Media: Nikhil Kapur Message us! contact@themamlpodcast.com Support this podcast: https://podcasters.spotify.com/pod/show/maml-podcast/support

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Dr. Shauna Overgaard - Bridging the Code to Bedside Gap

The MaML Podcast - Medicine & Machine Learning

46 minutes 58 seconds

2 months ago

Dr. Shauna Overgaard - Bridging the Code to Bedside Gap

Dr. Shauna Overgaard is the Senior Director of AI Strategy & Frameworks at Mayo Clinic, where she focuses on applying AI and data science to healthcare. She also founded Clarity - Applied Intelligence and served as an Assistant Professor of Health Informatics and Information Management. She is active in several organizations like the Coalition for Health AI (CHAI) and the American Medical Informatics Association (AMIA), and is helping shape the future of AI in healthcare. With over 50 citations to her name, Dr. Overgaard has significantly contributed to AI model documentation, clinical decision support systems, and the ethical implementation of AI in healthcare. Our conversation took place in Fall 2024, and we’re starting to see how a lot of these predictions played out!

00:00 - Intro

04:05 - From rural Canada to a Senior Director at Mayo Clinic

06:30 - Innovation culture at Mayo

09:22 - It takes 17 years for AI to get to the clinic?!

15:58 - Giving patients ownership over their data

21:24 - Can paying patients for their data make ML models more equitable?

28:55 - Is bias inescapable with AI?

32:19 - Can we make AI more transparent without giving away intellectual property?

35:15 - Worries about AI replacing healthcare workers

36:52 - Silent Trials: beta-testing AI

39:25 - So uh, how’s Rochester?

42:00 - What gives your life meaning?