What would it take for AI to make health care more accessible without making it less human? In this episode, Bill Hudson, Chief Information Officer at Hippocratic AI and former health system CIO, explores how healthcare leaders can move beyond AI hype and focus on solving meaningful problems. He explains why responsible implementation starts with a clear use case, the people who will benefit, and an understanding of how technology fits into clinical workflows. Bill discusses how AI can improve patient follow-up, expand access, and reduce administrative burdens while emphasizing the importance of clinical validation, human escalation, and continuous measurement of safety, equity, and value. He encourages leaders to involve clinicians, privacy and cybersecurity experts, informaticists, and patients in decision-making to ensure AI meaningfully improves care rather than simply automating tasks. Tune in for a practical conversation about how to use AI to create more capacity, stronger patient connections, and safer, more human health care. IHI Spotlight - Neel Vora Following the conversation, Neel Vora, Vice President of Information Technology at IHI, shares a practical framework for responsible AI adoption: fit, safety, and value. He encourages leaders to use a risk-based governance process from the first idea through retirement of a tool, with input from patient safety, privacy, cybersecurity, equity, legal, workforce, and patient representatives. He also emphasizes starting with a narrow use case, testing it in the real workflow, and continuing to measure whether AI improves safety, quality, equity, patient experience, or workforce well-being. About Bill Hudson: Bill Hudson is Chief Information Officer at Hippocratic AI and an accomplished digital transformation leader with more than 25 years of experience in health care information technology. He works with health care leaders to reimagine care delivery through Hippocratic AI’s agentic solutions, advancing population health and what he calls clinical abundance. His experience includes leading large-scale provider outsourcing arrangements, multiple Epic implementations, hospital integrations, Community Connect programs, and strategic work with provider AI startups. Previously, Bill served as Chief Information Officer at INTEGRIS Health and John Muir Health, Chief Healthcare Strategist for VMware, and Chief Technology Officer for Kettering Health. He has also held leadership roles at CTG and Cerner, serves as a board advisor to Tausight, and is a member of the Institute for Healthcare Improvement Board of Directors. He holds an MBA from Pepperdine University. Things You’ll Learn: Implementation should begin with a clear problem, the people who will benefit, and the outcomes an organization hopes to improve. Automating a task does not automatically improve care. The strongest use cases extend support that health systems lack the time or capacity to provide today. AI can help patients understand discharge instructions, obtain medications, schedule follow-up care, and escalate concerns before they become more serious. Every patient-facing AI interaction must be designed for safety, including clinical validation, safeguards against inaccurate responses, and a reliable path to human escalation. AI should support clinicians by reducing distraction and administrative burden, not replacing their judgment or requiring them to do more with less. Responsible AI governance requires input from clinical, privacy, cybersecurity, informatics, equity, legal, workforce, and patient perspectives. Resources: Connect with and follow Bill Hudson on LinkedIn. Follow Hippocratic AI on LinkedIn and explore their website. Explore the Institute for Healthcare Improvement’s AI Governance guidance for health systems.