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Medicare just cracked the code on AI reimbursement 🎯
For years, hospitals bought AI diagnostic tools that sat unused.
Why? No billing codes. No payment pathway. No ROI.
That changed this month.
CMS rolled out Category I CPT codes for AI diagnostics in 2026:
• AI-assisted cardiac imaging interpretation
• Retinal imaging analysis for diabetic screening
• Algorithmic ECG analysis for atrial fibrillation
• Burn wound multispectral imaging classification
But here’s what makes this revolutionary:
These aren’t experimental Category III codes that might disappear. These are permanent Category I codes with national Medicare rates through the Hospital OPPS system.
The timing couldn’t be better. Mayo Clinic’s AI can now detect pancreatic cancer 475 days before clinical diagnosis. Cleveland Clinic uses AI for quantum computing treatment predictions. LADHS reports 85% accuracy in pre-symptomatic cancer detection.
All previously stuck in pilot purgatory.
The ACCESS Model launching July 2026 takes it further: outcome-aligned payments for AI-supported chronic care management covering hypertension, diabetes, pain, and depression.
Think about the implications:
Every rural hospital without a cardiologist can now bill for AI cardiac analysis.
Every FQHC can screen for diabetic retinopathy without an ophthalmologist.
Every emergency department can detect atrial fibrillation algorithmically and get paid for it.
The Health Tech Investment Act proposes 5-year cost-based reimbursement for FDA-cleared AI devices, creating a bridge for newer technologies.
This isn’t just about payment codes. It’s about democratizing advanced diagnostics.
The question now: Will health systems move fast enough to implement these tools before competitors gain the advantage?
♻️ Repost if AI diagnostics should be standard care, not luxury care
👉 Follow me, Jonathan Govette, for daily, real-time updates on healthcare technology and business news. LinkedIn Profile: https://www.linkedin.com/in/jonathangovette/
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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.
