What will the future of healthcare really look like? Medical futurist Dr. Bertalan Meskó reveals how foresight, patient design, and prompt engineering are reshaping the landscape of care. In this interview with oncologist Dr. Sanjay Juneja, learn how to prepare for multiple futures, integrate AI tools effectively, and lead cultural change in medicine.

Should AI in health records be considered a medical device? Emily Lewis, an AI thought leader, compares the U.S. FDA and U.K. NHS approaches to AI regulation in healthcare. She shares how global discrepancies affect responsible AI implementation and what leaders must do to stay compliant. Discover why local adaptation and ongoing education are critical.

Interoperability isn’t just a buzzword—it’s a broken promise. Jordan Johnson, founder of Bridge Oncology, explains how fragmented systems, outdated data, and lack of standardization are driving financial loss and patient harm. From mismatched EMRs to payer confusion, this interview exposes the operational and policy-level stakes.

How do we make healthcare AI both safe and scalable? Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, shares how responsibility for AI safety must be shared across developers, deployers, clinicians, and health systems. He breaks down use-case-specific risks, informed consent challenges, and the risk of widening healthcare inequities.

Why are digital health companies still struggling to connect with EHRs—even after federal mandates? Dr. Ben Rosner breaks down results from a national survey exploring API integration challenges, from proprietary workarounds to endpoint confusion. He also previews a new survey aimed at measuring real progress since the 21st Century Cures Act.

Healthcare data interoperability isn’t just about EMRs—it’s about patient survival, equity, and system sustainability. Jordan Johnson, MSHA, Founder of Bridge Oncology, breaks down the true scope of interoperability, from payer systems to AI-enabled radiotherapy. In this dynamic conversation with Dr. Sanjay Juneja, they explore how structured data, legal frameworks, and real-time analytics can reshape value-based care and prevent patient harm.

Is AI helping—or harming—the next generation of doctors? UCSF's Dr. Ben Rosner shares how AI is reshaping medical education in 2025. From tutor bots to clinical skill assessments, he explores the opportunities and pitfalls. Discover what 'de-skilling' means, and why educators need smart guardrails to guide AI integration.

AI is transforming discharge documentation. Dr. Ben Rosner of UCSF breaks down how large language models (LLMs) perform compared to physicians—and what that means for safety, education, and clinical workflows. Learn what “LLM as jury” could mean for quality control and how AI might de-skill future doctors if we're not careful.

AI is no longer just for clinicians. Emily Lewis, an AI thought leader, explains how AI is becoming a partner in patient care. From gamified self-care tools to multimodal education, she breaks down how technology can foster better communication and empower patients to take control of their health. She also explores the regulatory and data challenges involved in scaling AI for patient use. Featuring Dr. Sanjay Juneja. Learn more about Emily: https://www.udemy.com/user/emily-lewis-77/ Host: https://sjunejamd.com/

Disruptive innovation isn’t always what it seems—especially in healthcare. Bernardo Perez-Villa, Senior Innovations Engagement Partner at the Cleveland Clinic, shares a revealing look at the myths behind “first-in-class” innovation. Learn how startups create disruption, why big players wait to buy instead of build, and how to use Christensen’s framework to identify true disruption.