STAT AI: An Emergency Medicine Podcast

In Episode 23 of the STAT AI Podcast, we speak with Benjamin Slovis, MD, MA, Chief Medical Information Officer at Temple Health, about what it takes to move healthcare AI from promising pilots into reliable clinical practice. We discuss workflow integration, AI governance, ambient documentation, automation bias, health equity, medical education, and why successful implementation depends on more than model performance. Dr. Slovis also shares how AI may reduce administrative burden, support clinicians in resource-limited settings, and strengthen care without replacing human judgment.

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Join us for Episode 22 of the STAT AI Podcast, featuring Moira Smith, MD, MPH, Department of Emergency Medicine, University of Virginia. In this episode, we explore how AI may support emergency physicians in navigating complexity, cognitive overload, diagnostic uncertainty, and evolving clinical workflows. We discuss decision support, medical education, patient safety, bias, trust, and what responsible AI integration could look like in the emergency department.

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In Episode 21 of the STAT AI Podcast, we are joined by Arwen Declan, MD, PhD and Drew Birrenkott, MD, DPhil to discuss the 2026 SAEM Hackathon.This special episode explores how AI, emergency medicine, and practical innovation are coming together to build the future of emergency care.

#SAEM #SAEMHackathon #STATAI #EmergencyMedicine #HealthcareAI

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Join Donald Apakama MD, MS, FACEP and me for Episode 20 of the STAT AI Podcast featuring Michael Prats, MD and Sean Sethi, DO. In this episode, we explore how artificial intelligence and point-of-care ultrasound (POCUS) are impacting emergency medicine, moving beyond the hype to focus on the questions clinicians are actually asking at the bedside. Dr. Prats and Dr. Sethi share thoughtful insights on where AI may help improve workflow, measurements, education, and quality assurance, while also emphasizing the importance of transparency, physician oversight, bias mitigation, and strong clinical judgment. This is a practical and forward-looking conversation about how AI can support ultrasound education and bedside care without losing sight of the human expertise that makes these tools meaningful.

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In Episode 19 of the STAT AI Podcast, we sit down with Resa Lewiss, MD an emergency medicine physician, point-of-care ultrasound leader, podcaster, and co-author of MicroSkills: Small Actions, Big Impact—to explore how microskills can help clinicians navigate ultrasound, AI, and constant technological change without burning out. Dr. Lewiss shares concrete ways to build subject-matter expertise and use human-centered design for building AI solutions. We dive into energy-aware scheduling, burnout, knowing when to abandon an AI tool that isn’t serving you, and why self-care is a core professional skill. Not to miss!

https://www.resalewiss.com/microskills-the-book

https://www.stataipodcast.com/

https://www.youtube.com/watch?v=bqYsbRaDLOg

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In Episode 18 of the STAT AI Podcast, we sit down with David Crabb, MD—emergency physician, clinical informaticist, and CEO/founder of Rovex to explore how autonomous robots are reshaping hospital logistics and patient transport. We dive into how robotics can transform the emergency department, the Rovex concept and design process, and what it really takes for an EM physician to step into the startup world as a founder and CEO. An inspiring, future-focused conversation you won’t want to miss.

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In this episode, we speak with Zaid Altawil, MD and Nicholas Stark, MD the founders and driving forces of the Emergency Medicine Innovation Collaborative (EMIC). These two visionary emergency medicine physicians share how EMIC is building a national ecosystem of innovators focused on reimagining emergency medicine. We discuss how EMIC leverages open collaboration, real-world implementation, and rapid-cycle feedback to move beyond pilot projects and into scalable solutions. Not to be missed!

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Join us for Episode 16 of the STAT AI Podcast! After breaking down a recent study on AI-based ED crowd forecasting, we’re joined by Dr. Fei Wang—Professor of Population Health Sciences and Emergency Medicine at Weill Cornell Medicine, Chief of the Division of Health Informatics and Artificial Intelligence, and Director of the Institute of Artificial Intelligence for Digital Health. In a wide-ranging conversation, Dr. Wang shares his perspective on what makes AI models truly usable in clinical practice, why so many fail to generalize beyond the lab, and how to evaluate performance beyond just accuracy. From reproducibility to regulatory challenges to building AI systems that actually solve real-world problems, Dr. Wang brings a pragmatic and deeply informed lens to the future of health AI. A must-listen for EM clinicians, researchers, and anyone thinking about the next phase of AI deployment in healthcare.

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Join us for Episode 15 of the STAT AI Podcast! On this episode, we sit down with Dr. Andrew Taylor, Professor of Emergency Medicine and Vice Chair of Research and Innovation at UVA, to discuss his groundbreaking NEJM AI study on AI-based triage decision support and its real-world impact on emergency department operations. Dr. Taylor shares his vision for human-AI collaboration in emergency medicine, from streamlining clinical workflows to addressing equity challenges, and offers practical insights on how emergency departments can responsibly implement AI tools today while preparing for the transformative changes ahead. Not to miss!

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This is EP14 of the STAT AI Podcast! Join us for a thrilling conversation with Fran Riley, MD, MSE of Stanford Emergency Medicine. The conversation highlights Dr. Riley's pioneering work combining emergency medicine with AI-driven image recognition and her efforts to bridge clinical and technical gaps through innovation and education. Not to miss!!

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