Ron provided interesting examples on the use of AI that resonated with the audience. Attendees were downloading Chat GPT during his presentation.
Nevada Hospital Association Helpful 0
Ron Galloway Speaker Biography
Ron Galloway is a nationally recognized expert on artificial intelligence, known for delivering clear, grounded insights into the present — and accurate predictions about the future. With more than 800 keynotes and two books on AI, he helps organizations make sense of emerging technologies before they become mainstream.
Eight years ago, Ron publicly predicted that AI would write its own code — long before ChatGPT and GitHub Copilot made it real. His future-facing ideas consistently land, because they’re built on rigorous research and pattern recognition, not trend-following.
With deep specialization in healthcare systems, and keynotes to all state hospital associations, Ron speaks the language of both clinicians and technologists. He’s one of the only speakers who can explain AI to a board of directors, a hospital CEO, or an engineering team — and leave each group equally enlightened.
He’s been featured on CNN, CNBC, MSNBC, The Daily Show, and ABC World News Tonight, and quoted in The Wall Street Journal, New York Times, Washington Post, and The New Yorker.
China’s Healthcare Time Machine: What 400 Million AI Patients Teach the West About 2030
While U.S. systems still argue about interoperability and patient-portal adoption, China has already built the seamless, super-app hospital of the future. Alipay’s A-Fu service lets a billion users book, consult AI doctors, pay, and get insurance reimbursement in two taps. Ping An Good Doctor’s One-Minute Clinics triage millions daily, and WeChat has replaced the patient portal entirely. This approach is already running at population scale today. Ron Galloway brings back the blueprint and shows what America’s 2030 will look like if we are willing to learn from it.
KEY TAKEAWAYS
- How super-apps solved the front door problem that still plagues every U.S. health system
- Why AI triage at 400-million-user scale is already profitable in China and what that means for U.S. primary care economics
- The launch-learn-regulate philosophy that compresses five years of Western pilots into six months of deployment
- The uncomfortable strategic question: copy the architecture, not the politics, or watch the gap become unbridgeable?
Agentic AI: From Chatbots to Autonomous Hospital Agents That Actually Get Work Done
While hospital boards are still approving AI pilots and debating governance, the shift from chatbots to full agentic systems has already happened. Epic’s new autonomous agents are booking follow-ups, Oracle’s specialty agents are drafting notes across 30 departments, and Microsoft’s Dragon Copilot is executing multi-step revenue-cycle tasks without human prompts. Agents are now taking on complete workflows so doctors can focus on healing patients. Ron Galloway shows exactly how this leap works and what it means for your margins, your workforce, and your five-year strategy.
KEY TAKEAWAYS
- How agentic AI moves from single-task bots to autonomous multi-step agents that schedule, code, prior-auth, and close encounters in one uninterrupted workflow
- Why administrative and revenue-cycle wins will arrive first and why clinical agents are following 12 to 18 months behind
- The three governance guardrails every health system must put in place before agents touch patients or claims
- The 2027 to 2030 roadmap when agent fleets will outnumber clinicians in non-licensed tasks and what that does to your operating model.
The Clinical Operating System: How Oracle, Epic, Microsoft and Amazon Are Rewriting Healthcare’s Core Code
The EHR is evolving from a simple record into the full operating system of healthcare itself. Oracle is migrating Cerner to a full cloud-AI stack, Epic is embedding agentic intelligence at the point of care, Microsoft is turning Azure into the new clinical data layer, and Amazon is wiring the entire patient journey from pharmacy to home. Six companies now control more than 60 percent of U.S. clinical infrastructure, and the consolidation is accelerating. Ron Galloway maps the new Clinical OS layers and shows exactly what this means for your capital plan, your vendor leverage, and your long-term independence.
KEY TAKEAWAYS
- The six-layer Clinical OS framework (infrastructure, data, intelligence, interface, delivery, payment) and who actually owns each layer today
- Why the Oracle-Epic migration wars will decide the next decade of hospital IT spend
- How vertical integration across cloud, AI, and pharmacy is creating defensible moats no legacy vendor can match
- The board-level question every health system must answer before 2028: stay independent or join one of the emerging Clinical OS ecosystems?
November 13, 2024
I think he is a great guy and provides alot of great information inregards to AI but was not sure it was entirely paired well with the manufacturing cutting tool industry (feedback from my boss) but the group loved him! All around great comments. It was a pleasure working with him and your company again.
United States Cutting Tool Institute Helpful 0