Share this article and save a life!
Your lab results just got a translator, and it speaks human.
Quest Diagnostics dropped something game-changing last week: an AI companion that turns five years of your lab data into actual conversations you can understand.
No more googling “what does high BUN mean” at 2 AM.
The Quest AI Companion, powered by Google’s Gemini, lives right in the MyQuest app where 27 million Americans already check their results. It analyzes trends, explains terminology, and even generates smart questions to ask your doctor.
But here’s what struck me most:
Quest solved the trust problem that kills most health AI tools. Instead of asking patients to upload sensitive data to random chatbots, they built AI into the platform that already guards their medical records.
74% of hospitals now use AI for diagnostics. Yet most patients still can’t understand their own test results. We’ve been building AI for doctors while patients sit in the dark with PDFs full of medical jargon.
This flips the script.
When patients understand their health data, they ask better questions. They catch trends earlier. They become partners, not passengers, in their care.
🎯 The real disruption isn’t the technology. It’s democratizing medical comprehension.
Imagine if every FQHC patient could track their diabetes markers over time and actually understand what they mean. Or if someone with chronic kidney disease could spot concerning trends before their next appointment.
This is healthcare’s ChatGPT moment, but with guardrails that matter.
The question now: Will other labs and health systems follow Quest’s lead, or will they keep patients locked out of their own data stories?
♻️ Repost if patients deserve to understand their own health data
👉 Follow me, Jonathan Govette, for daily, real-time updates on healthcare technology and business news. LinkedIn Profile: https://www.linkedin.com/in/jonathangovette/
Share this article and save a life!
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.
