We’re in the midst of an AI gold rush. Every corner of healthcare is racing to harness generative AI for productivity and cost savings. But here’s the catch: healthcare isn’t Silicon Valley. The mantra of “move fast and break things” doesn’t work in a high-risk, complex environment. When it comes to AI in healthcare, safety and effectiveness must come before speed.
This week on Radio Advisory, guest host and Advisory Board digital health expert Ty Aderhold sits down with David Woods, Mike Rayo, and Dane Morey from the Cognitive Systems Engineering Lab at The Ohio State University. Drawing on new research about how AI changes human decision-making, they unpack the risks and realities of AI in healthcare, challenge common misconceptions, and ask critical questions—like whether AI can recognize and communicate its own errors.
Bottom line: There is no risk-free use of AI in healthcare. To truly evaluate safety and effectiveness, leaders must assess AI-human systems as a whole—not in isolation.
Plus, stay tuned for an update on the end of the longest government shut down in U.S. history, and the healthcare programs (still) caught in the crosshairs.
We’re here to help:
- Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings
- How AI Can Degrade Human Performance in High-Stakes Settings
- The Silicon Valley Way: Move fast and break…aviation safety?
- Cognitive Systems Engineering Lab | Innovation at the Intersection of People, Technology, and Work
- Your playbook for developing an AI governance strategy
- How to succeed using AI: Lessons from 4 leading organizations
[Dec. 4] The healthcare leader's to-do list for successful AI adoption
3 ways to get the most out of contingent nursing workforce partnerships
A transcript of this episode as well as more information and resources can be found on RadioAdvisory.advisory.com.
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