In this episode, Dr. Amit Phull discusses what responsible AI adoption in healthcare really looks like, starting with trust, usability, and preserving clinician judgment. He emphasizes that ease of use and confidence in outputs are non-negotiable for clinician adoption, especially in already time-constrained workflows.
The discussion also explores why AI must be built with clinicians, not simply deployed for them, and how poorly integrated tools risk adding friction instead of value. Dr. Phull also talks about preserving a clinician’s “spidey sense”—the intuition developed through experience—while using AI to augment, not override, clinical judgment. The conversation also touches on how success should be measured beyond dashboards, including recurrent use, time savings, and reductions in burnout.
Dr. Phull states that AI, when designed thoughtfully, can help clinicians reclaim time, sharpen expertise, and focus more fully on patient care, without losing the human edge that defines great medicine. Take a listen.
John M. Kravitz, Chief Information Officer, Geisinger Health speaks with Paddy Padmanabhan, CEO, Damo Consulting Inc. on how Geisinger is standardizing their platforms to...
Terry Myerson leads a very interesting organization – Truveta – that’s trying to aggregate healthcare data from health systems across the country in a...
In this episode, Karen Murphy discusses her role as the first Chief Innovation Officer and the Founding Director of the Steele Institute for Health...
