Episode #177. What A Misdiagnosis Story Reveals About Trust In Healthcare, with Dr. Jodyn Platt, an associate professor at the University of Michigan Medical School

Patients deserve transparency when AI influences their care, and health systems need governance that makes AI accountable at scale. 

In this episode, Dr. Jodyn Platt, an associate professor at the University of Michigan Medical School, discusses how patients and the public perceive AI in healthcare, why many are interested in knowing when AI is used, and how trust and shared decision-making influence acceptance. She explains three common reactions to health data use: some people shrug, some want ongoing updates, and some feel angry or surprised. Dr. Platt also explores how personal experiences, such as misdiagnosis, can intensify skepticism toward healthcare decisions and technology. Finally, she argues for an AI registry model to track the deployment of tools, their locations, and their impact, while acknowledging the challenge of keeping information current as models evolve.

Tune in and learn how transparency and smarter governance can make clinical AI safer, more accountable, and more trustworthy!

Resources:

• Connect with and follow Dr. Jodyn Platt on LinkedIn.

• Follow the University of Michigan Medical School on LinkedIn and visit their website!

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