Healthcare strategy, AI integration, and care delivery insights. Written from inside the systems most people analyze from the outside.
CMS's site-neutral payment policy has moved into full force for outpatient imaging, infusion, and clinic visits. Here is what actually changed, what it means for patients and health systems, and the three questions every physician and executive should be asking now.
Read the Full Article →CMS's site-neutral payment policy has moved into full force for outpatient imaging, infusion, and clinic visits. Here is what actually changed, what it means for patients and health systems, and the three questions every physician and executive should be asking now.
Read more →Medicare pays two to four times more for an X-ray if the machine sits inside a hospital's outpatient department instead of a doctor's office across the street. CMS just proposed closing that gap. Here is what actually changes, and the three numbers your finance team should already be running.
Read more →Dartmouth timed six AI models drafting replies to 146,000 real patient-portal messages. The hour a vendor claims to save on drafting shows back up on the calendar as verification time.
Read more →On July 1, Indiana barred insurers from using AI as the sole basis to downcode a claim. The debate about clinical AI has been stuck on whether the model is accurate. The question that actually governs risk is who is named accountable when the model is wrong.
Read more →US health spending is projected to reach $9 trillion by 2034. The number is not the problem to solve; it is the receipt. The question every board should ask is what we actually bought, and which of the three places the money goes buys the least.
Read more →A major health system announced its AI tool doubled clot-risk screening accuracy. The baseline was a coin flip. Here are the four questions every health system leader should be asking before an accuracy headline becomes a purchase order.
Read more →Three health systems are defending class action lawsuits because their AI scribes recorded patients without proper consent. The governance failure was not in the model. It was in the intake process.
Read more →Maryland, Indiana, and Colorado just put three different compliance clocks on clinical AI. Here is what the governance patchwork actually requires of a health system, in plain language.
Read more →A telehealth login does not make a system borderless. Geography remains the most persistent design flaw in American care, and closing it is a governance decision, not a technology one.
Read more →Most physicians cannot say which AI tools in their workflow are FDA-regulated medical devices. Everything about liability, validation, and oversight changes once the answer is yes.
Read more →Physician leaders take administrative roles expecting clinical strategy. The actual job is translating between three actors who do not share incentives. The exit interview reads personal; the pattern is structural.
Read more →Clinical AI agreements are drafted by technology lawyers for technology companies. Almost everything in the document is negotiable. Almost nobody negotiates it. Five clauses worth fighting for.
Read more →By month five post-go-live, the sunk cost trap is already working against you. Five signs it has started, and the governance move that closes it before it costs you a quarter.
Read more →A five-question framework for evaluating clinical AI scribing vendors: validation data, liability position, deployment evidence, day-one operator readiness, and what happens when the scribe is wrong.
Read more →CMS accepted 150-plus organizations into the ACCESS Model, with a July launch. Here is what the announcement does to your clinical AI roadmap, and the advisory question it forces.
Read more →Health systems vet clinical AI hard before deployment. Then the tool goes live and the evaluation stops. What happens next, and what a real post-deployment monitoring program looks like.
Read more →After years on both sides of the table, one pattern is unmistakable. Companies that scale share five signals. Here's how to read them before you sign the contract.
Read more →Two pillars score lowest across every health system assessed. Not technology. Not scheduling infrastructure. Change readiness. Here's what that actually means.
Read more →Hospital boards are asking the wrong AI question. The real governance problem isn't whether to adopt: it's whether your organization can actually deploy what it buys.
Read more →Most AI vendor contracts put all liability on physicians. Five critical clauses to renegotiate before signing, from a clinical leader who has negotiated them.
Read more →When a clinical AI tool gives a wrong recommendation, who is accountable? A framework for closing the governance gap before it costs a patient.
Read more →I've been in Houston for less than 24 hours and ACHE is already telling two different stories. The keynote stage says AI is transforming healthcare. The hallways say something else entirely.
Read more →The regulatory landscape shifted at midnight. Here's what health technology leaders need to act on immediately.
Read more →The policy signal everyone in digital health needs to understand, and the access opportunity hiding inside it.
Read more →A year-end audit of the moves that mattered, the tech that delivered, and what the scorecard actually says going into 2026.
Read more →This isn't incremental. It's a structural bet that the downstream cost of not addressing root causes finally outweighs the political cost of paying for them.
Read more →The career move nobody understood until they did. What it actually takes to go from practicing medicine to changing the systems that deliver it.
Read more →A full read on whether this model is the care delivery paradigm shift it's being marketed as, or another pilot that won't survive contact with operational reality.
Read more →During the 8th China International Import Expo (CIIE) last week, Sino Biopharm and MediTrust Health signed a landmark strategic agreement, and almost nobody in US healthcare noticed.
Read more →For decades, medicine has operated on a foundation of averages. The digital twin changes the unit of analysis from population to individual, and the implications are enormous.
Read more →For the last decade, we've talked about clinician burnout as a problem. Let's be blunt: it's no longer a problem. It's an existential crisis.
Read more →Take a moment and look at your wrist. There's a very good chance you are wearing a device that is, at this exact second, counting your steps, logging your sleep, and transmitting your biometrics.
Read more →Good morning from San Jose. Being here this week has been incredibly energizing, and clarifying. The market has shifted. Clinical efficacy alone doesn't move the deal.
Read more →Here at the MERGE Built '25 conference, "personalization" is the word on everyone's lips. So why does every product on the floor look like it was built for the same hypothetical patient?
Read more →For years, the conversation around remote patient monitoring has been anchored in familiar territory: tracking vitals post-discharge. This is a different conversation.
Read more →We are in the golden age of health innovation. From AI-driven wellness platforms to surgical robotics, our work is fundamentally changing care. But trust is the scarce resource none of it works without.
Read more →Last night, I gave a workshop to a group of international founders about the US healthcare landscape. The looks on their faces confirmed what I already suspected: this system is genuinely incomprehensible from the outside.
Read more →Imagine your doctor concludes your visit not just with a prescription for a pill, but also one for a specialized app. That future is closer than most people realize, and the path to reimbursement is finally starting to clear.
Read more →Whether you're on the clinical front lines or building the technology that supports them, 2025's healthcare market looks the same from both seats: brutal, full of opportunity, and absolutely unforgiving of misaligned incentives.
Read more →Our healthcare system is facing a critical shortage of its most essential professionals: nurses. The statistics are alarming. The causes are structural. And the technology window to address them is closing fast.
Read more →Healthcare strategy, AI integration, and clinical realism: delivered directly. No filler. No delay.
