Recorded on-site at Evidently's inaugural Scaling Health AI Summit, we sit down with Dr. Dieter Sumerauer, MD, FAAP — pediatrician and Associate CHIO at Rady Children's Hospital in San Diego who still sees patients in urgent care. Dieter was one of the first physicians in Northeast Ohio to go fully electronic in the early 2000s, and he's been finding ways to use technology to deepen patient trust ever since. In this conversation, we talk about how AI chart summarization is letting him build in 15 minutes the kind of rapport that used to take 25 years, why he reframes "artificial intelligence" as "augmented intelligence," the culture of punishing mistakes without examining what went right, and the impossible task we ask of clinicians — and what it means to finally give them the tools to meet that standard.

In this episode, recorded on-site at Evidently's inaugural Scaling Health AI Summit in Utah, we sit down with Dr. David Marcozzi — Chief Clinical Officer at the University of Maryland Medical Center and Associate Dean at its School of Medicine. Marco has a unique & defining career path as a disaster medicine physician who deployed to Ground Zero at 9/11, then moved through the U.S. Senate, the White House, CMS, and finally back to the bedside and clinical leadership. What ties it all together is a disciplined approach to leadership — not as a title, but as a practiced skill in his role as a healthcare leader. In this conversation, Marco unpacks what it really means to earn trust, why speed-to-decision is healthcare's most underrated problem, what the military taught him about building high-performing teams, and why humility — not credentials — is the prerequisite for influence. A conversation about leading people through change, at any scale.

Welcome back to episode four of Trust But Verify, the evidently podcast. In the second half of our conversation with UCSF emergency medicine physician Dr. Mel Molina, we move beyond the EHR and tackle the complex intersection of cutting-edge technology and vulnerable patient populations.

We discuss the humbling lessons learned from rolling out telehealth during the pandemic to patients without broadband or digital literacy , and whether the integration of AI tools like clinical scribes will cause critical thinking skills to atrophy in new doctors. Mel also challenges the "do no harm" paradox, arguing that sometimes holding out for a perfect AI solution—like machine translation for discharge instructions—is actively worse than the current standard of care. Finally, we explore what it would actually take to fix the healthcare safety net through closed-loop care with community organizations.