What Physicians Actually Want From AI

About this episode

Most healthcare AI tools get built and then don't get used. Why? Because they weren't built around how clinicians actually work.

In this episode, Patricia Thaine sits down with Dr. Travis Bias, a family medicine physician and Deputy Chief Medical Officer at Solventum, to get the practitioner's perspective on what's working, what's falling flat, and what builders need to understand about clinical workflows before they ship.

They cover ambient documentation and why it's seeing unusually high adoption, the "last mile" integration problem that kills otherwise solid products, how clinical data flow from a physician's note all the way to population health resource planning, the build vs. buy decision for health systems with local technical teams, interoperability and how far it's come and how far it still needs to go, what open banking-like system could look like if applied to health data, and the privacy and values questions that come with patient-facing AI tools like ChatGPT Health.

Travis also shares a patient story that cuts to the heart of why context, not just data, determines whether AI is actually useful in clinical care.

Guest Bio

Travis Bias is a board-certified family medicine physician and Deputy Chief Medical Officer, Health Information Systems, at Solventum (formerly 3M Health). He has 15 years of experience across multiple clinical settings, has taught comparative health systems at the UCSF Institute of Global Health Sciences, and currently practices telemedicine. His work sits at the intersection of clinical medicine, health data infrastructure, and AI governance.

Links

- Travis on Solventum: https://www.solventum.com/en-us/home/health-information-technology/resources-education/experts/travis-bias-do-mph/

- Travis on LinkedIn: https://www.linkedin.com/in/travisbias/

- Ambient Documentation & Speech Recognition at Solventum: https://www.solventum.com/en-us/home/health-information-technology/ambient-documentation-speech-recognition/

About The Data FrontierHosted by Patricia Thaine, co-founder of Private AI. Each episode brings together builders, engineers, data scientists, product leaders, and domain experts working at the frontier of data innovation. From NLP and privacy to interoperability and AI-driven workflows, we get into the real problems, the real blockers, and what's actually working.

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