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A robot just wrote your prescription. No doctor required.
Utah quietly made history last month.
They launched America’s first AI prescribing program where algorithms, not doctors, renew medications for chronic conditions. Zero human oversight required.
Think about that for a moment.
We’re not talking about AI helping doctors make decisions. We’re not discussing clinical decision support tools. This is an autonomous system with prescription authority, the same legal power we’ve reserved exclusively for licensed clinicians for over a century.
The pilot program with health-tech startup Doctronic started in December 2025, but the implications are just hitting us now.
Here’s what’s actually happening:
• AI reviews patient history and current medications
• Algorithm determines if renewal is appropriate
• Prescription gets sent directly to pharmacy
• No physician review. No nurse practitioner sign-off. Nothing.
The rationale? Chronic disease management often involves routine renewals that follow predictable patterns. Why waste physician time on straightforward refills when AI can handle them?
But here’s where it gets complicated.
What happens when the AI misses a drug interaction? Who’s liable when a patient has an adverse reaction? How do we ensure the algorithm considers the whole patient, not just data points?
More fundamentally: If AI can prescribe medications, what exactly is the unique value of human clinicians?
This isn’t happening in Silicon Valley. It’s happening in Utah, a state not known for regulatory risk-taking. If it succeeds there, expect rapid adoption elsewhere.
We’re watching the first crack in medicine’s most sacred monopoly: the exclusive right to prescribe. Once that barrier falls, everything changes.
The future of healthcare isn’t coming. It’s prescribing medications in Salt Lake City right now.
♻️ Repost if you think prescription authority should remain exclusively human
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Author:
Jonathan Govette is a seasoned healthcare and technology executive with more than two decades of experience building, scaling, and advising digital health companies. He is the Co-Founder and CEO of Oatmeal Health, an AI-driven Lung Cancer Screening and Diagnostics company focused on expanding access to early detection for underrepresented populations, particularly patients served by Federally Qualified Health Centers and value-based health plans.
With a background in engineering, product development, and strategic partnerships, Jonathan has founded and led multiple health technology ventures across clinical care delivery, regulated medical software, and AI-enabled diagnostics. His work sits at the intersection of medicine, technology, and health equity, with a consistent focus on translating complex clinical problems into scalable, real-world solutions.
Jonathan has spent much of his professional life dedicated to improving outcomes for marginalized and underserved communities. He has designed and implemented frameworks that align clinical quality, reimbursement, and technology to sustainably advance health equity at scale. This mission is deeply personal and informs his leadership philosophy and long-term vision for healthcare transformation.
In addition to his operating experience, Jonathan is an author and long-time writer in the healthcare domain, with over 20 years of published work covering digital health, medical innovation, and healthcare systems. He is a frequent mentor to early-stage founders and regularly advises startups on product strategy, partnerships, and go-to-market execution in regulated healthcare environments.
Before entering industry full-time, Jonathan nearly pursued a career in medicine with an early path toward cardiothoracic surgery, an experience that continues to shape his clinical perspective and respect for frontline care delivery.
CEO | Oatmeal Health | AI Lung Cancer Startup | Engineer | Writer | Almost Became a Doctor (Cardiac Thoracic Surgeon) | 3x Health Tech Founder | Startup Mentor | Follow to share what I’ve learned along the way.
