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AI chatbots just became healthcare’s biggest tech threat.
ECRI’s 2026 Health Technology Hazards report dropped yesterday, and the top risk isn’t what you’d expect.
It’s not cyberattacks. Not equipment failures. Not data breaches.
It’s AI chatbots giving medical advice. 🤖
Here’s what’s happening: 16% of Americans already turn to ChatGPT and similar tools for health information. They’re asking about symptoms, medications, diagnoses.
The problem? These large language models predict patterns, they don’t understand medicine. They hallucinate facts. They miss critical context. They can’t distinguish between a headache and something serious.
What makes this especially dangerous:
• Chatbots sound confident even when wrong
• Patients skip real medical care
• Biased training data creates health disparities
• No accountability when things go wrong
Meanwhile, federal AI regulations remain limited. States are scrambling to create patchwork laws. Healthcare organizations are caught between innovation pressure and patient safety.
The irony? While we worry about sophisticated AI threats, the biggest danger is people asking basic health questions to tools that weren’t built for healthcare.
This isn’t about stopping AI adoption. It’s about being honest about limitations.
Every health system rushing to deploy AI needs to ask: Are we creating solutions or creating new problems?
Because when a chatbot tells someone their chest pain is just anxiety, who’s responsible for what happens next?
The technology isn’t the problem. Our expectations are.
♻️ Repost if AI in healthcare needs guardrails before growth
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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.
