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CVS just deployed 100,000 AI twins to solve medication non-adherence.
And they’re achieving 85-95% accuracy in predicting patient behavior.
Here’s what makes this revolutionary:
These aren’t generic AI models. CVS built “agentic twins” using real data from 400,000+ patients across 200+ behavioral scenarios. Each twin simulates an individual patient, not an average.
The breakthrough? They discovered the real drivers of adherence:
• Trust in the pharmacy
• Confidence in medication handling
• Convenience of the experience
And the barriers killing adherence:
• Confusion about medications
• Anxiety about refill timing
• Past frustrations with pharmacy experiences
What used to take weeks of market research now happens in 15-30 minutes.
Think about that impact 💡
CVS can test interventions on hard-to-reach populations like immunocompromised patients at scale. They can simulate “what if” scenarios before rolling out changes. They can predict which patients will struggle with adherence before they miss a dose.
This isn’t just faster research, it’s predictive healthcare.
The implications are massive:
1. Personalized interventions based on individual behavioral patterns
2. Proactive outreach before non-adherence happens
3. Testing pharmacy changes without disrupting real patients
Medication non-adherence costs our system $100-300 billion annually. It causes 125,000 preventable deaths.
CVS partnered with AI startup Simile to build this. They emphasize these twins complement, not replace, human judgment. Smart move, keeping humans in the loop while scaling insights.
The question isn’t whether AI will transform healthcare operations.
It’s whether your organization is ready to move from reactive to predictive care.
Because while we debate AI ethics, CVS is already preventing medication failures at scale.
♻️ Repost if medication adherence needs predictive solutions, not just reminders
👉 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.
