Honored to be at the Humphrey building today for @CMSgov's ACCESS model event. ACCESS is the first Medicare payment model purpose-built for technology-enabled chronic care; paying for outcomes, not activities. It covers conditions affecting two-thirds of Medicare beneficiaries,

Thoughtful piece from @Rock_Health on pharma's direct-to-patient push. The problem they're solving is real: patients face fragmentation and friction across their healthcare journey. Treatment initiation is hard. Adherence is harder. Coverage barriers kill continuity. But I keep

Switch up the routine this weekend with a last-minute Florida trip

Medicare fee-for-service pays for activities. ACCESS now pays for results. Under ACCESS, a care organization gets paid when a patient's blood pressure drops 10mmHg, not for the visit where they discussed it. That's a fundamental shift in how Medicare thinks about value. Outcomes

On Thursday it was around $500. Now $299 to $449 per month for Zepbound vials on LillyDirect. Wonder if any PBMs are reducing prices accordingly... https://t.co/bjK64iRMvq

Why does your GLP-1 cost $1,300 through insurance but under $500 at https://t.co/3ph0Cpy7yy? Because PBMs take a cut of the spread. Higher list prices = bigger rebates = more money for middlemen. The incentives are pointed in exactly the wrong direction. Worth understanding how

I’m an Immigrant. America Owes Me Nothing, But I Owe America Everything. Immigration has always been one of America’s greatest strengths, but only when it honors the unwritten contract that built this country: gratitude, assimilation, contribution, and loyalty. I know this

Nano Banana Pro is the first image generator I’ve seen that can consistently render an analog clock image showing the correct time from a prompt like: “Please generate an image of an analog watch showing the time is 2:30 pm”

Fascinating. Gemini 3 Pro misspelled a word while I was running it through the paces of a coding session. "microsconds"

Your dentist knows about your dental infection. Your doctor manages your diabetes risk. They don't talk to each other. Meanwhile, that infection is driving up your blood sugar. New King's College London study: treating root canal infections dropped blood sugar significantly over

AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on

Catch all the action and excitement: NWA on Roku airs for free every Tuesday on Roku Sports at 8 pm ET with replays on Tuesday at 11:00 PM ET / 8:00 PM PT, Saturday afternoons, + on demand.

Assuming my flight isn't cancelled, I'll be speaking at @WebSummit in Lisbon on Thursday. Very excited to explore the intersection of AI, healthcare, data, and trust. I'll be discussing the data dilemma (is more data always better?) alongside @amitkatwala, @radytee, and Sam

What the f*ck... 🤯 Cloudflare just open-sourced an entire AI coding platform that lets anyone build and deploy apps with natural language. VibeSDK is basically Replit/Cursor but you can deploy your own version in one click. Here's how it works:

Dear founder, Are you letting god flow through you?

United slashed RPM coverage to just two conditions. Most remote monitoring companies are now in serious trouble. Many built businesses on reimbursement arbitrage, not outcomes. Split CPT codes with providers, collect checks, ignore whether patients actually improved.

Assuming the rate of progress in autonomous programming continues, by about this time next year (Nov 2026) ai coders will do about 2 hrs of continuous work. Now → 31 Minutes +1 Year → ~2 Hours +2 Years → ~9 Hours +3 Years → ~37 Hours

Digital health devices generate constant data, and constant anxiety. Smartwatch ECGs spark cardiac fears. Sleep trackers breed obsession with metrics. Continuous monitoring becomes exhausting instead of empowering. Enter the concept of AI guardians: systems that filter,

AI in healthcare carries two truths at once: - Promise: faster diagnostics, improved access, lighter clinician workloads. - Peril: bias, privacy risks, opacity, loss of human oversight. Studies show algorithms can mirror inequities in the data they're trained on, leading to

I've seen some "AI doctor startups" that are just trying to arbitrage the gap between AI costs and human reimbursement rates. Bill at doctor prices, deliver at AI costs, pocket the difference. That's not innovation, it's extraction and it's immoral. At Doctronic we're always

Well, @OpenAI just banned @ChatGPT from giving medical advice. @Doctronic is built different: peer-reviewed clinical validation, a network of licensed physicians across all 50 states, and partnerships that let us keep expanding. We're not pulling back. We're moving forward.

💰Countering Dems hollow words on “affordability” Polls and elections highlight the Republican need to take on Democrats affordability message, and to take their affordability wins from the Big Beautiful Bill on the road.

OpenAI just made it official that ChatGPT can’t give medical or legal advice, even when it’s accurate. So let me get this straight: AI that can pass the US Medical Licensing Exam and score higher than law graduates on bar questions… is suddenly too “unsafe” to tell someone what

84 % of health leaders believe AI will transform care delivery within a year. Yet nearly half of hospitals say they're not technically ready to deploy it. Legacy systems, fragmented data, and strict compliance rules slow innovation, problems other industries solved years ago. As

AI won't replace oncologists, but it may help them outsmart cancer. Harvard's Sybil model can flag early lung-cancer risk on CT scans months before visible signs appear. Other AI systems now match genomic profiles to targeted drugs, accelerating personalized treatment planning.