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Dr. Mehmet Oz on Fixing American Healthcare + Fraud | Live from Davos

with Dr. Mehmet Oz, CMS Administrator
24 Jan 2026 18 min read 1h 18m

Dr. Oz argues healthcare should be viewed as an economic investment, not an expense—if Americans work one more year due to better health outcomes, it's worth $3 trillion to the economy. The CMS is leveraging AI and data interoperability to reduce drug prices, eliminate fraud, and bring healthcare to underserved rural areas where 60 million Americans currently lack access to mental health services.

Dr. Mehmet Oz
“The most important message I'm going to deliver today. The most important message is don't think about healthcare like an expense. Think of it as an investment because if I can get the average American to work one year longer because I got them a medication at a better price, they didn't turn away at the drugstore or because we able to do something else correct”
Explaining the economic rationale behind efforts to lower drug prices and improve healthcare access
▶ 8:36
Dr. Mehmet Oz
“We have the ability to make laws. Every part of the administration pretty much can. We get Congress to do stuff. It doesn't always turn out the way you want it to turn out, and it takes a lot of time. and the negotiated final result uh sometimes falls short.”
Describing the three levers of government action—legislation, rulemaking, and convening—and their respective limitations
▶ 4:19
Dr. Mehmet Oz
“the large language models do better on board exams. So, ab general knowledge, they're better than a doctor. They're more patient than a doctor. If you talk to an AI uh informed avatar, they'll answer the same 10 questions on diabetes all day long and not get bored.”
Discussing how LLMs outperform general practitioners in knowledge and patience, addressing a Harvard/MIT study on AI bedside manner
▶ 14:11
Dr. Mehmet Oz
“60 million Americans living in rural America don't have access to mental health services. Our vets commit suicide at a crazy high rate, more than we lose in war because they don't have access to mental health services.”
Explaining the urgent need for AI-enabled healthcare in underserved areas, particularly for mental health
▶ 25:32
Dr. Mehmet Oz
“600 companies have signed a pledge agreeing to interoperability and data transparency and to build these tools for the American people to be able to use them. Now, once I a deputize you to be better equipped to take care of yourself, you change the system.”
Announcing a major healthcare tech initiative requiring medical record companies to share patient data and make it interoperable
▶ 20:29
Dr. Mehmet Oz is the Administrator of the Centers for Medicare & Medicaid Services (CMS), overseeing healthcare policy for millions of Americans. Previously known as "America's doctor" during his 13-year run as a TV host and his career as a cardiac surgeon, Oz now leads efforts to reduce healthcare costs, combat fraud, and modernize the system with AI and technology. He's focused on democratizing healthcare access while maintaining innovation in pharmaceuticals and medical services.
1
Healthcare ROI: One extra year = $3 trillion Reframing healthcare spending as investment rather than expense: if Americans work one additional year due to better health outcomes and drug affordability, the economic return is massive. This logic underpins CMS's push to negotiate drug prices with pharma companies, using leverage from the threat of regulation to achieve 'most favored nation' pricing parity with Europe.
2
AI scales healthcare to rural America With 60 million Americans in rural areas lacking mental health access and insufficient practitioners to meet demand, AI-enabled pharmacists and telehealth networks become the infrastructure fix. A $50 billion rural healthcare investment includes AI as core element; micro-hospital models with nurse practitioners + AI-assisted diagnosis can reach underserved communities where traditional doctors won't relocate.
3
Medical data interoperability via AI decoding 600 health tech companies pledged to interoperability standards; AI's ability to read unstructured data from proprietary formats breaks the vendor lock-in moat. Patients can now aggregate their own health records (sleep, blood panels, biometric data) and query AI for personalized insights, shifting from passive recipients to informed, self-directed healthcare consumers.