Explore every episode of the podcast Healthcare AI Pioneers

Jesse chats with Dr. Bob Wachter, Professor and Chair of the Department of Medicine at the University of California, San Francisco. Together, they discuss Bob's new book, A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future; why the current healthcare AI boom is different from the many past waves of health tech hype; unintended consequences of electronic health records and lessons from the EHR rollout that could guide AI deployment in healthcare; the balance between AI replacing doctors and assisting them; what's preventing AI from reliably outperforming human clinicians; how healthcare systems can guard against automation bias; what healthcare could look like if this "giant leap" succeeds; and much more.

Get Bob's new book, A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future.

Jesse also reflects on this key headline: From BBC News, AI chatbots for medical advice can be risky and even dangerous, according to research from the University of Oxford.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay. 

Jesse chats with Dr. Rohit Sangal, Assistant Professor of Emergency Medicine at the Yale School of Medicine, Associate Medical Director of the Adult Emergency Department at Yale New Haven Hospital, and Director of the Clinical Operations and Administration Fellowship in Emergency Medicine at Yale; and Chris Chmura, Clinical Operations Manager of Emergency Services at Yale New Haven Hospital. Together, they discuss how Rohit and Chris first gained interest in the AI triage area; the role of the Yale Medical School and the Yale New Haven Hospital in an AI triage initiative; metrics, data, and results from what they've implemented thus far; overcoming challenges with implementation; concerns about AI in the triage area and in healthcare in general; preparing frontline clinicians for the future of healthcare delivery with AI tools; where Yale New Haven could be headed with healthcare AI; and much more.

Jesse also reflects on this key headline: C-suite execs are super bullish on AI, according to a recent Sage Growth Partners report.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com.

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com.

Music by Turning Pages from Pixabay.

Jesse chats with Lisa Stump, Chief Digital Information Officer at Mount Sinai Health System and Dean for Information Technology of the Icahn School of Medicine at Mount Sinai, and Dr. Robbie Freeman, Chief Digital Transformation Officer at Mount Sinai Health System. Together, they discuss how Mount Sinai Health System thinks about its clinical AI strategy and is implementing scalable programs, how Mount Sinai is using ambient scribing in nursing, using AI to create a program that tracks the risk of pressure ulcers, how Mount Sinai is integrating AI into its research programs, the system's experience in using AI while launching a call center, where Mount Sinai could be headed with healthcare AI in the coming years, and much more.

Learn more about Mount Sinai's Pressure Injury AI study at www.youtube.com/watch?v=4Bz2u-zxf0c.

Learn more about Mount Sinai's malnutrition AI study at www.youtube.com/watch?v=LtVuY7QGIJM. 

Jesse also reflects on this key headline: From The New York Times, Microsoft unveiled a tool that will allow users to share records from multiple healthcare providers using its AI Chatbot Copilot.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay.

Jesse chats with Nassib Chamoun, Founder and CEO of Health Data Analytics Institute, and Brenda Campbell, Senior Consultant of Health Systems Innovations at Houston Methodist Hospital. Together, they discuss how Houston Methodist is operationalizing AI within its care delivery system, why it needed to rethink how it identifies and manages high-risk patients post-discharge, how predictive models and AI-generated chart summaries actually show up in a clinician's day-to-day workflow, how AI helps to determine patient care pathways, how positive outcomes can inform AI's role in care optimization, and much more.

Jesse also reflects on this key headline: A new American Medical Association survey found that more than four in five physicians now use some form of AI in their practices, more than doubling adoption since 2023.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com.

Music by Turning Pages from Pixabay.

AI is moving fast, and in healthcare, the stakes couldn't be higher. In this trailer for Healthcare AI Pioneers, host Jesse Pines, MD, emergency physician, researcher, and author of nearly 400 peer-reviewed publications, introduces a new podcast dedicated to cutting through the hype around healthcare AI.

The show focuses on three core areas: clinician-facing AI in diagnosis and treatment, operational AI in areas like revenue cycle and quality improvement, and consumer tools such as ChatGPT and wearables. Each episode features leaders who have implemented AI in real healthcare settings and who share concrete metrics, outcomes, lessons learned, and implementation challenges.

No vague promises. No inflated claims. Just practical insight from the people doing the work. Subscribers gain access to bonus episodes covering breaking news, major AI healthcare developments, and curated resources shaping the field.

If you want to understand where healthcare AI is actually working—and what it really takes to make it work—this is your starting point.

Jesse chats with Dr. Travis Zack, Chief Medical Officer at OpenEvidence and Assistant Adjunct Professor and AI Researcher at the University of California, San Francisco. Together, they discuss OpenEvidence's mission and its rapid adoption among physicians; how OpenEvidence differs from general-purpose AI platforms; Travis' background and role at OpenEvidence; the rationale behind the organization's free access model and its long-term vision; partnerships between OpenEvidence and health systems; the organization's impact on clinical decision-making, physician practice, and medical education; the future of OpenEvidence and clinical AI; and much more.

Jesse also reflects on this key headline: Rhode Island passes AI scribe opt-out law.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay. 

Jesse chats with Dr. Raj Ratwani, Vice President of Scientific Affairs at the MedStar Health Research Institute, Director of the MedStar Health National Center for Human Factors in Healthcare, and a Professor of Emergency Medicine at Georgetown University School of Medicine; and Dr. Ross Filice, Chief of Imaging Informatics, Director of Research in the Department of Radiology, and Professor at MedStar Georgetown University Hospital. Together, they discuss MedStar Health's integration of an AI clinical decision support tool, "AI Doc," into radiology care; human factors and conditions under which clinical AI tools are likely to work; how radiology residents at Georgetown are allowed to use AI Doc; concerns surrounding deskilling in AI-assisted clinical environments; post-deployment surveillance and monitoring of AI Doc; how to build AI governance structures in healthcare settings; whether AI could eventually replace radiologists; and much more.

Jesse also reflects on this key headline: AMA Adopts Policy Pushing Back on AI Creep in Medicine.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay.

Jesse chats with Dr. Thomas Dalton, Associate Professor of Internal Medicine and Geriatrics at UT Southwestern Medical Center, and Dr. Andrew Jamieson Assistant Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center and Principal Investigator of Jamieson Lab. Together, they discuss objective structured clinical examinations, how UT Southwestern created a model to help solve problems with OSCEs, inter-rater reliability in the human baseline in their research data compared with benchmarks, how the resulting system was operationally deployed for real students being graded on real exams, what happens to human graders who are no longer needed for OSCE scoring, applying multimodal AI to video recordings of student physical exams, how AI assessment tools translate from medical school into graduate medical education, where AI-powered assessment could be headed, and much more.

Jesse also reflects on this key headline: OpenAI launches ChatGPT for clinicians.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com.

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com.

Music by Turning Pages from Pixabay.

Jesse chats with Dr. Christopher (Toff) Peabody, Associate Clinical Professor of Emergency Medicine at the University of California San Francisco, Founder and Director of the UCSF Acute Care Innovation Center, and Associate Chief Medical Officer for Performance Excellence at Zuckerberg San Francisco General Hospital; and Dr. Lucas Zier, Interventional Cardiologist and Pulmonary Hypertension Specialist at ZSFG and UCSF Health. Together, they discuss the implementation of an LLM embedded in ZSFG's lean performance improvement process, how combining lean methodology with an LLM works in practice, overcoming data quality challenges with the LLM, a predictive model for readmissions for heart failure, a generative AI tool that summarizes patients' social and behavioral determinants of health, closing the gap between what a clinician intuitively knows they want from an AI tool and what they can actually articulate precisely enough for a developer to build, and much more.

Jesse also reflects on this key headline: NBC News investigation reveals OpenEvidence is now used by approximately 65% of U.S. physicians.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com. 

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay. 

Jesse chats with Dr. Heather Heaton, Associate Professor of Emergency Medicine, Consultant, and Vice Chair of Clinical Systems Oversight at Mayo Clinic; Dr. Shant Ayanian, Academic Hospitalist and Data Scientist in the Division of Hospital Internal Medicine at Mayo Clinic; and Angie Griffin, Director of Strategy and Innovation for Clinical Systems at Mayo Clinic. Together, they discuss a study evaluating Epic's LLM-based hospital course drafting tool against human-written summaries across 100 real hospitalizations at Mayo; whether AI performance compared to humans is a win for AI, a damning statement about human baseline quality, or both; design or workflow interventions that can prevent the "rubber stamp" problem of clinicians signing AI-generated documentation without review; which tools in Mayo's growing AI portfolio get rigorous independent evaluation; Mayo's governance structure for clinical AI tools; recommendations for health systems that considering Epic's AI hospital course drafting tool; where AI-assisted clinical documentation could be headed; and much more.

Jesse also reflects on this key headline: Researchers at Harvard and Beth Israel Deaconess found that OpenAI's o1 model outperformed two attending internal medicine physicians on real-world emergency department clinical reasoning.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com.

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay. 

Jesse chats with Dr. Andrew Wong, Research Fellow at the National Clinician Scholars Program Institute at the University of Michigan Institute for Healthcare Policy and Innovation and Clinical Instructor in the Department of Internal Medicine at the University of Michigan, and Dr. Mike Burns, Associate Professor of Anesthesiology and Associate Chief Medical Information Officer for AI at the University of Michigan. Together, they discuss what led Michigan to report on the underperformance of Epic's sepsis prediction model, considerations for health systems as they look to set up a structure for AI governance, market diversity and competition in today's clinical AI sector, the University of Michigan Health System's AI workflow from model output to clinician decision support to measurable patient benefit, how model implementation can influence workflow, thresholds for healthcare AI models and acceptable trade-offs for clinicians, guardrails to prevent harm and what to monitor after go-live, and much more.

Jesse also reflects on this key headline: OpenAI publishes wish list for healthcare AI.

In our Resource Link segment, we list one valuable resource you might want to check out. To view this link, subscribe, or find out more information about our podcast, visit www.HealthcareAIPioneers.com.

Want to be a sponsor, marketing partner, or guest, or provide feedback on the podcast? Email us at Info@HealthcareAIPioneers.com. 

Music by Turning Pages from Pixabay.