EP15 Dr. Andrew Taylor, MD MHS
In Episode 15 of the STAT AI Podcast, Dr. DJ Apakama and Dr. Ethan Abbott welcome Dr. Andrew Taylor, Professor of Emergency Medicine and Vice Chair for Research and Innovation at the University of Virginia. A national leader in clinical informatics, Dr. Taylor shares insights from two groundbreaking areas of his work: ECG foundation models and human-in-the-loop triage AI.
From training a model on over 10 million ECGs to implementing AI-assisted triage with nurse override across multiple hospitals, Dr. Taylor highlights both the promise and the pitfalls of deploying AI in real-world emergency departments. He and the hosts dig into automation bias, clinical trust, and what it means to balance algorithmic recommendations with human judgment at the bedside.
Together, they explore how foundation models could unlock new diagnostic possibilities, why outcomes—not just accuracy scores—should drive adoption, and how to prepare the next generation of residents to use AI as a partner rather than a crutch.
Tune in to hear how thoughtful, human-centered design is shaping the future of equitable AI in emergency medicine.
EP14 Dr. Fran Riley, MD MSe
In Episode 13 of the STAT AI Podcast, Dr. DJ Apakama and Dr. Ethan Abbott welcome Stanford emergency physicians Dr. Dong Yao and Dr. Shivam Vedak for a wide-ranging conversation about how prompt engineering is shaping the next generation of AI in healthcare. As frontline physicians and researchers, Drs. Yao and Vedak share how carefully crafted prompts — not just powerful models — are critical to deploying AI safely and effectively at the bedside.
Together, they explore real-world challenges in developing clinical decision support tools, the art and science behind creating prompts that clinicians can trust, and how prompt engineering may ultimately redefine workflows in emergency medicine and beyond.
Tune in to hear why thoughtful prompt design is becoming as essential as the algorithms themselves.