The Signal Room | AI in Healthcare: Strategy, Governance & Ethical Leadership

Send us Fan Mail Why AI Agents Are Healthcare's Next Biggest Security Risk (with Pranava Adduri) Generative AI is changing how the medical world works—but it is also completely rewriting the cyber threat landscape. When a security breach happens to a traditional business, it impacts revenue. When a data breach happens to a hospital system, people's lives are actively at stake. In this ep...

Send us Fan Mail Is your organization’s data secretly floating around on the public web? In this episode of The Signal Room , host Chris Hutchins dives deep into the operational layer of AI risk with cybersecurity expert Aaron Puckett , Executive Vice President at Managed Services Group. Many corporate boards think they are protected because they signed off on an official AI policy. But as Aaron e...

Send us Fan Mail Why "Academic" AI Models Fail the 3 AM Real-World Stress Test What happens when pristine corporate AI benchmarks collide with the messy realities of the frontline at 3:00 AM? In this episode of The Signal Room , emergency physician and AI red-teamer Dr. Omer Atli joins host Chris to expose why enterprise-grade AI models frequently collapse in resource-constrained environ...

Send us Fan Mail Before he was advising boards on AI strategy, Bennett Bordon spent eight years as a U.S. intelligence analyst, then went to law school, then earned a graduate degree in data analytics. That cross-disciplinary background eventually led him to analyze a decade of billing data from 14,000 attorneys, and conclude that roughly 80% of what lawyers do today is better done by AI. Bordon i...

Send us Fan Mail What does it mean to be ready — really ready — to take care of a patient at 3am? Passing boards says you're safe enough to start. But clinical judgment? That's built through repetition, feedback, and experience that nursing education often can't provide. And the consequences of that gap are real: 50% of new grad nurses leave the bedside within 2 years, before they e...

Send us Fan Mail Are your employees using AI as a tool, or is it quietly eroding your company's culture?  In this episode of The Signal Room, we explore why digital transformation is primarily a trust event, not a technical one. Guest Katherine Tuominen, an organizational narrative strategist, joins the show to uncover the growing friction between top-down executive directives and the lived o...

Send us Fan Mail Less than 25% of employees say they trust their CEO. Two-thirds of the global workforce is disengaged. And now companies are rolling out AI on top of that already-broken foundation. In this episode of The Signal Room, Chris sits down with Diane Weaver, fifth-generation entrepreneur, EdTech veteran (Pearson, Waterford), and co-founder of Baryons to talk about the trust crisis hidin...

Send us Fan Mail Explore the AI literacy crisis in healthcare with Dr. Steve Labkoff, focusing on AI governance, ethical leadership, and responsible AI strategy. Learn how leaders can navigate AI democratization and clinical AI implementation to ensure trustworthy AI systems that advance healthcare innovation and patient safety. Dr. Steven Labkoff, physician executive and former VP at Bristol Myer...

Send us Fan Mail Sid Dutta is a 24-year cybersecurity veteran, former data-protection executive at American Express, Worldpay, Activision Blizzard, and OpenText and Founder & CEO of Privaclave AI. His work targets the layer most healthcare AI conversations ignore: the runtime data layer where pilots actually stall. In this episode, Chris Hutchins and Sid examine why healthcare data governance...

Send us Fan Mail Healthcare AI and ethical leadership must give time back to clinicians, not take more away — Poonam Patel on AI strategy, provider burnout, and trust erosion in healthcare. Provider burnout is pushing clinicians out of healthcare at an unsustainable rate. In this episode of The Signal Room, Chris Hutchins sits down with Poonam Patel, a pediatric nurse practitioner turned healthcar...

Send us Fan Mail The $50B AI in healthcare investment wave is outpacing what most health systems can govern — Lorraine Fernandes on AI strategy, AI governance, and the dark side of the medical AI boom. The $50 billion AI in healthcare investment wave is accelerating faster than most health systems can evaluate, integrate, or govern the tools arriving on their doorstep. Lorraine Fernandes, a global...

Send us Fan Mail AI governance is the difference between shipping healthcare AI and watching the project get shut down — Andre Samokish on privacy, AI strategy, and governance for 2026. AI governance is becoming the difference between shipping AI in healthcare and watching the project get shut down. Andre Samokish, a privacy and AI governance expert, joins Chris Hutchins to explain why most AI ini...

Send us Fan Mail Ethical leadership and AI strategy collapse when the people executing the strategy are quietly burning out — Carly Caminiti on why culture determines healthcare AI success. Healthcare innovation leadership stops working when the people who execute the strategy are quietly burning out. Carly Caminiti, an ICF-certified executive coach and creator of the 5C Leadership Performance Sys...

Send us Fan Mail AI strategy for healthcare fails when strategic intent hits operational reality at the bedside — MarKeisha Snaith on ethical AI, transformation, and healthcare innovation. Healthcare innovation leadership rarely fails at the strategy level. It fails when strategic intent hits operational reality at the bedside. MarKeisha Snaith joins Chris Hutchins to examine the signals that matt...

Send us Fan Mail Healthcare AI succeeds or fails at the connective tissue of care — Amanda Roser on AI strategy, rare disease caregiving, and why patient advocates belong at the table. AI applications in healthcare succeed or fail at the connective tissue of care delivery, the caregivers, patient advocates, and family members who hold fragmented systems together. Amanda Roser, who has spent 5 year...

Send us Fan Mail AI regulation and healthcare AI meet their hardest test in the emergency department — Dr. Natasha Dole on designing clinical AI for 3 AM, not 3 PM. Emergency departments are the hardest environments to deploy AI applications in healthcare because speed, accuracy, and contextual judgment all compress into seconds. Dr. Natasha Dole, an emergency physician and digital health leader,...

Send us Fan Mail Enterprise AI strategy in healthcare is a multi-year sequence, not a single deployment — Gary Cao on agentic AI, generative AI, and healthcare data foundations. The most successful enterprise AI strategies in healthcare treat the journey as a multi-year sequence, not a single deployment. Gary Cao, a chief data, analytics, and AI officer with 30 years of experience across 8 compani...

Send us Fan Mail AI strategy for healthcare stalls when it collides with operational reality — Brian Sutherland on ethical leadership and moving healthcare AI from plan to execution. Healthcare innovation leadership rarely stalls at the strategy layer. It stalls when AI strategy for healthcare collides with operational reality, leadership alignment, and the workflow assumptions the plan never ques...

Send us Fan Mail AI in pharmaceutical drug discovery is gated by verification, not discovery speed — David Finkelshteyn on AI strategy and the real bottleneck in drug development. AI can now search a vastly wider grid of compounds and molecules than any human team could evaluate in a lifetime, but discovery speed is no longer the bottleneck in pharmaceutical drug development. Verification is. Davi...

Send us Fan Mail AI governance and cybersecurity fail together when healthcare AI systems expand the threat surface — Guman Chauhan on ethical leadership and undetected AI breaches. AI systems expand the healthcare threat surface in ways traditional security tools were not designed to detect. Guman Chauhan joins Chris Hutchins to examine the intersection of AI governance, cybersecurity, and ethica...

Send us Fan Mail Clinical AI in healthcare earns trust when it amplifies physicians rather than replaces them — Dr. Mark Gendreau on AI strategy, human judgment, and clinical trust. Clinical AI in emergency medicine earns trust when it amplifies physicians rather than replaces them, and when the time it gives back actually reaches the patient. Dr. Mark Gendreau, an emergency medicine physician and...

Send us Fan Mail AI strategy for healthcare collapses the moment measurable outcomes are demanded — Parth Gargish on moving healthcare AI from hype to real value. AI strategy for healthcare collapses the moment someone asks for the measurable outcome. Parth Gargish, CEO of NetSmarts with 20 years of custom software and a dedicated AI practice since 2016, joins Chris Hutchins to examine how to sepa...

Send us Fan Mail Healthcare AI fails silently when the medical records it trains on are incomplete — Aleida Lanza on the AI strategy gaps leaders discover too late in production. Healthcare AI fails silently when the medical records it trains on are incomplete, and most organizations do not feel the scope of that problem until production. Aleida Lanza, who spent 35 years as a medical malpractice p...

Send us Fan Mail Responsible AI in healthcare only works when ethical leadership is built into daily operating practice — Asha Mahesh on AI governance and the ways of working. Ethical leadership in AI is not a paper you publish and forget. Asha Mahesh, a technologist at the intersection of AI, ethics, and life sciences, joins Chris Hutchins to examine what responsible AI actually looks like when i...

Send us Fan Mail AI governance in healthcare has to start with emotional readiness, not a compliance template — Susie Branagan on human-centered AI governance and just culture. AI governance in healthcare cannot start with a compliance template. It has to start with emotional readiness, which Susie Branagan, a trauma-informed nurse executive and AI ethics advocate, argues is what most organization...