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69% vs 46%. That’s not a typo.
That’s the difference between Epic’s Art AI catching early lung cancer and the national average.
The Christ Hospital in Cincinnati just proved what happens when AI actually works in healthcare: lives saved, not just time.
🔍 Here’s what makes this breakthrough different:
Art doesn’t replace radiologists. It scans every chest X-ray for incidental findings that human eyes might miss during rushed reads. When it spots a potential lung nodule, it automatically adds it to the patient record and schedules the follow-up.
No alerts fatigue.
No workflow disruption.
Just catch cancer when it’s actually treatable.
Over 85% of Epic customers now use Art. Houston Methodist just expanded it to bedside nursing. Home care launches this month.
But here’s what keeps me up at night:
If one AI system can boost detection rates by 50%, what are we missing at hospitals without this technology?
How many cancers go undetected simply because a radiologist had 200 scans to read that day?
The American College of Radiology says workforce shortage is their #1 threat for the third straight year. Meanwhile, imaging demand keeps climbing with our aging population.
This isn’t about AI replacing doctors.
It’s about giving overwhelmed radiologists the tools to save more lives.
The 23% detection gap between AI-enabled and traditional workflows? Those aren’t just statistics. Those are mothers, fathers, friends who get a fighting chance.
Every hospital without this capability needs to ask themselves: can we afford NOT to implement AI that catches cancer this much better?
The technology exists. The results are proven. The only question is implementation speed.
♻️ Repost if early cancer detection shouldn’t depend on your hospital’s tech budget.
👉 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.
