Join us for a conversation with Dr. Ashley Beecy, Chief AI Officer at Sutter Health, as she shares their journey from targeted AI pilots to enterprise-wide transformation across one of California's largest integrated health systems. We'll explore Sutter's innovative diabetic retinopathy screening program, where AI-enabled cameras deployed across 28 primary care sites detect sight-threatening conditions in under a minute, and their strategic partnership with Aidoc as the premier West Coast hub for clinical AI innovation. Dr. Beecy brings unique insights from her journey as a cardiologist and former AI leader at NewYork-Presbyterian. 

• Clinical Leadership Drives AI Success: Dr. Beecy's background as a practicing cardiologist provides essential clinical credibility for enterprise AI transformation. 
• Pilot to Platform Strategy: Focused pilots with clear clinical value can scale enterprise-wide when supported by proper governance and infrastructure. 
• Real-World Impact at Scale: 24 cases of retinopathy detected from 216 screenings demonstrates measurable clinical outcomes from AI deployment. 
• Strategic Partnerships Accelerate Innovation: Sutter's role as Aidoc's West Coast hub shows how health systems can co-develop AI solutions. 
• Infrastructure Investment is Critical: Scaling AI across 24 hospitals and 200+ care sites requires robust governance frameworks and organizational commitment. 

Join Megan Antonelli as she speaks with Jenice Larmond, RN, BSN, MBA, Clinical Innovation & Excellence Officer at Neteera, about how radar-based ambient monitoring is rewiring clinical culture toward prevention. Discover how FDA-cleared contactless technology continuously monitors heart rate, respiration, and occupancy & motion insights through clothing and bedding—detecting subtle changes before they become crises. Learn why health systems report dramatic reductions in alert fatigue, increased early interventions, and prevention-focused care delivery. If you're building RPM, post-acute care, or aging-in-place programs centered on early detection, this conversation reveals the cultural shift happening now.

Join Megan Antonelli and Dr. Tom Kelly, co-founder of Heidi Health, as he brings a unique perspective to healthcare AI. He's a vascular surgery trainee turned founder who experienced firsthand the crushing administrative burden that keeps clinicians from truly connecting with their patients. With Heidi Health now serving over 500,000 clinicians and processing more than 2 million patient visits per week, Tom shares the fascinating journey from frustrated doctor to AI innovator. We dive deep into the reality versus the hype of ambient AI adoption, why clinician-first design trumps seamless integration, and the critical difference between tools that doctors tolerate and tools they actually love. From the nuances of personalization at the sentence level to envisioning an AI care partner that handles follow-ups and coordinates care, this conversation reveals what it truly takes to build healthcare technology that makes medicine more human—not less.

Join us for an in-depth conversation with Dr. Ryan Sadeghian, System CMIO at University of Toledo Health, as he shares his unique journey from healthcare consultant to practicing pediatrician to AI implementation leader. In this episode, we explore how academic health systems are uniquely positioned to drive healthcare AI innovation, balancing the dual mission of education and patient care while building practical AI solutions that solve real workflow challenges. Dr. Sadeghian discusses his organization's approach to developing internal AI capabilities, managing vendor relationships, and creating sustainable change management strategies that ensure successful AI adoption across clinical and administrative teams.

Joining us is Kristen Miller, Co-Director of MedStar Health's Center for Diagnostic Systems Safety and Scientific Director of their National Center for Human Factors in Healthcare. As healthcare organizations invest billions in AI technologies, Kristen's research reveals that human factors engineering - the science of how humans interact with complex systems - determines whether AI becomes a safety enhancer or safety hazard, whether patients embrace or resist these tools, and whether healthcare teams achieve promised efficiencies or face new workflow disruptions.