203: UI Health’s CHIO Dr. Karl Kochendorfer: The Real Path to AI-augmented Clinical Messaging, The Role of LLMs for Patient Interactions, and How AI can actually make Clinicians More Human

202: Penn State Health’s Dr. Chris DeFlitch: What Healthcare Can Learn From Disney, Eliminating Waiting from Emergency Rooms, and Why Digital Transformation is Still About People Taking Care of People

201: Fairview Health Service’s Dr. Sameer Badlani: Creating New Platforms for Healthcare Delivery, Bringing Retail-Quality Experiences to Healthcare, and Proven Frameworks for Evaluating Tech Value

200: Sutter Health’s CMIO Dr. Veena Jones: Scaling Ambient AI for Real-World ROI, Involving Patients to Design AI Inbox Responses that Actually Work, and Moving Beyond Pajama Time to True Fulfillment

199: Mount Sinai’s CDTO Robbie Freeman: Enabling Clinician-Led AI Innovation, Embedding Forward-Deployed Engineers into Clinical Workflows, and Empowering Nurses to Lead Ethical AI

198: OSF HealthCare’s Roopa Foulger: Why 80% of Healthcare AI Fails in the Real World, Inside OSF’s Three-Horizon Innovation Strategy, and When to Break the Rules of Evidence-Based Tech

197: Parkview Health’s CMIO Dr. Mark Mabus: From Escape-Room Training to TikTok-style Edutainment, Infusing Creativity into Healthcare IT Training, and Preparing Clinicians for the Future of the EHR

196: Stanford Children’s CHIO Dr. Natalie Pageler: The Hidden Pediatric Data Crisis, How AI Is Best Used in Pediatrics, and Preventing Automation Complacency in Medicine

195: Intermountain’s CHIO Dr. Moores Todd: What She Learned About Healthcare From a Near-Death Experience, Sustaining Informatics Through ‘Gardening Mode’, and How AI Agents Will Shape Healthcare

194: Becker’s 2025 Debrief: From Swag Bags to Note Bloat, What Health Tech Conferences should do Differently, and the Most Interesting Ideas We Heard

193: UCSD Health’s Dr. Amy Sitapati: How AI Agents May Impact Data Cleanliness, Why Clinicians Need to Get Their Hands Wet with AI, and Understanding Patient Preferences to Personalize Care

192: UCLA Health’s CMIO Dr. Eric Cheng: Applying Randomization to Informatics, Creating AI-Enabled, Personalized EHR Experiences for Every Clinician, and Advancing Equity Through Accurate Data

191: Kettering Health’s Dr. Albert Bonnema: Combining EHR, Genomics & AI for Breakthroughs in Precision Med, Risks of AI Use in Medical Education, and Barriers to making Personalized Medicine Standard

190: KUMC’s former CMIO Dr. Greg Ator: Why AI Chart Summarization is the Next Dominant Use Case, Having a CMIO in Every Clinical Department, and Could a Startup Disrupt the Major EHR Incumbents?

189: HonorHealth’s CMIO Dr. Craig Norquist: What the Healthcare C-Suite can learn from the Navy, Where AI Agents best fit in Healthcare, and How being a Clinician-Patient exposes Healthcare Inequities

188: UW Health’s Dr. Joel Gordon and Stacy Rasmussen: Building a Successful Digital Transformation Dyad, Leading and Lagging Indicators of Success with AI, and Measuring ROI with Rigor for AI Scribes

187: Niagara Health’s CIO Sonali Kohli: Lessons from a Modern Day EHR Implementation, Establishing Guardrails for Safe AI, and Success with Digital Care Journeys for Remote Surgical Monitoring

186: SE Health’s CDO Robert Slepin: Implementing EHRs Globally, Strategic Recommendations for EHR Companies, and Keys to Mitigate Risk with Large-Scale Digital Transformation

185: Cedars-Sinai’s Dr. Shoma Desai: Scaling AI-powered Virtual Urgent Care, Why Virtualists Can Get More Face Time with Patients, and Understanding Customer Acquisition Costs to Sustain Innovation

184: AMDIS 2025 Recap: What's so Magical about Ojai, Why Healthcare's Biggest Risk may be Adopting AI Too Slowly and Sharing our Secret Sauce for Patient Engagement