In this episode I talk with Jack Stock, Senior IT BRM at Cleveland Clinic, about changes he's seen in the field over his career. Jack also shares some sage advice for BRM programs looking to mature.  ..read more

In this episode Erik Swanson and I dig in on #ai  and #analytics in health systems. Erik shares his expertise on choosing problems and good KPIs rather than being swayed by a cool solution, as well as focusing on the science of #healthcare delivery ..read more

In this episode I interview collaborator, AI master, and book-recommender extraordinaire Jasbir Kooner. We talk about her experiences with gender bias in STEM, and I ask for her advice for all folks in STEM who want a more equal playing field. Books referenced: Good Guys: How Men Can Be Better Allies for Women in the Workplace, by David G Smith Invisible Women: Data Bias in a World Designed for Men, by Caroline Criado Perez The End of Bias, A Beginning: The Science and Practice of Overcoming Unconscious Bias, by Jessica Nordell ..read more

In this episode, I cover AMA's recent report on the Future of Health, in which they summarize the current #ai landscape, and argue persuasively for the use of "augmented intelligence" rather than "artificial intelligence." They close with stats on the desire of physician stakeholders to be involved early and often in AI use case definition, evaluation, and implementation.    Report: https://www.ama-assn.org/system/files/future-health-augmented-intelligence-health-care.pdf ..read more

In this week's episode I talk about a recent article about trust in genAI. I started listening to a fascinating podcast with Yann LeCun about the consolidation of AI in just a few companies. For a healthcare system, there are interesting tensions between the desire to work with a Microsoft or a Google, a smaller start up, and the urge to build ai expertise in house - all while keeping patient outcomes as highest priority. It's a good one. I hope you'll take a listen.    Article: https://www.linkedin.com/pulse/trust-generative-ai-plummeting-michael-spencer-vfwxc/   Podcast: https ..read more

In this week's episode, I review The Worlds I See by Fei-Fei Li - a delightful, creative, warm portrait of both the emergence of artificial intelligence from its intellectual winter, and Fei-Fei's own life story. I talk about creativity and science, and about using approaches from multiple disciplines to think about AI problems ..read more

In this week's podcast episode - I summarize thinking and learning so far on how to evaluate an ai tool in the healthcare space. I talk about using AI to do things that AI does well and humans do poorly ..read more

In this week's Health Data Ethics podcast episode, I talk about healthcare-specific methods of evaluating LLM output - a recent paper on HumanELY, a web tool for evaluating LLM output across five separate axes, is a great lens for thinking about your ai tools. I also discuss a recent evaluation of GPT-4 Vision in which our AI friend ends up with the right answer to a medical case but can't quite tell us why ..read more

In this episode I review The Code Breaker, a biography of Jennifer Doudna by Walter Isaacson. I talk about previous moral panics about new technology (recombinant DNA!) and compare with artificial intelligence today.  ..read more

In this episode of the Health Data Ethics podcast I dive into a recent paper in Lancet Digital Health about GPT-4 perpetuating racial and gender biases when asked to diagnose patients. After a victory lap, we settle in to talk about what this means for the use of LLMs as a diagnostic tool and what healthcare teams might want to consider if they implement this technology ..read more