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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:
CEO/Co-Founder @ Oatmeal Health | AI Lung Cancer Screening | Almost Became a Doctor | Engineer | Follow to Share What I’ve Learned Along the Way
I help patients get the care they need earlier, preventing late-stage cancer.
That’s been the throughline across three companies and almost 20 years in healthcare. At ReferralMD, we fixed broken referral networks so patients didn’t fall through the cracks. At Oatmeal Health, it’s lung cancer: building the diagnostic and screening infrastructure so the 85% of cases caught too late get caught early instead.
Today as CEO of Oatmeal Health, I lead a team embedding AI into radiology workflows to turn routine lung CT scans into reimbursable cancer risk assessments. We partner with FQHCs to reach underserved communities, and with health systems and payers to make early detection economically sustainable. Think HeartFlow or Cleerly, but for lungs.
Between companies, I advised at Techstars and Plug and Play, mentoring founders building in digital health. That experience shaped how I think about what separates companies that ship from companies that stall: distribution, reimbursement, and clinical trust, not just technology.
I’m a CancerX alumnus, a 3x healthcare founder, and someone who believes the biggest problems in cancer aren’t scientific. They’re operational.
We’re hiring mission-driven builders at Oatmeal Health. If you want to work on something that matters, reach out.
When I’m not working, I’m traveling, mentoring, and keeping up with one very energetic husky. 🐾
Substack – The Oatmeal Bite:
Millions of patients get less care because of who they are, where they live, or how they look. I’m fighting to change that. CEO @OatmealHealth, a startup built for the underserved. The Oatmeal Bite: intel for clinicians, investors, and advocates.
Jonathan Govette
CEO of Oatmeal Health
Substack:
https://oatmealhealthjonathangovette.substack.com/
