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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/
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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/
