A Practical Implementation Lab
A physician-led, evidence-based course on putting AI to work in your real medical life: the workflows, tools, and use cases that save you hours, sharpen your learning, and strengthen your research, all without compromising patient safety or privacy.
Not hype. Not replacement. Not generic prompt engineering. Practical skills for the clinician who wants to use AI well, know exactly where the line sits, and lead its responsible adoption instead of being led by it.
No PHI, ever. No spam. Unsubscribe anytime.
Why this course exists
Reckless adoption, pasting patient data into consumer tools. Or fearful avoidance, banning AI and falling behind. There's a third posture, and it's the one that lets you lead.
Computerized ECG reads, sepsis alerts, risk calculators, imaging CAD. What changed isn't the presence of AI. It's the visibility, accessibility, scale, and generality of it.
The physician who understands data flow, tool boundaries, and where the line truly sits is the one who gets to confidently say yes, while peers either overreach or freeze.
Form your own assessment, use AI to organize and challenge it, then verify, reconcile, and own the output. The reasoning pattern of the sharpest clinicians, never a leash.
The physicians who thrive in the next decade won't be the ones who avoided AI, or the ones who trusted it blindly. They'll be the ones who learned to use it well, supervise it, and decide exactly where it belongs. That skill is learnable, and it's what this course teaches.
The signature framework
Not every patient goes to the ICU. Not every headache needs a CT. Not every AI workflow needs legal review. The skill is knowing which situation you're in.
Evidence, not assertion
This isn't opinion about AI. It's what randomized and multicenter studies actually show about how clinicians and AI interact.
CLAIMS LAST VERIFIED · 2026-07-03
Course content carries a live claims ledger. Regulatory, vendor, and tool-specific material is dated and re-verified before publication, because this field changes monthly.
What you'll build · v1.0
A focused, professional curriculum where every lesson leads with a capability and closes with a single assured boundary. You finish with a Responsible AI Implementation Plan for your own practice.
Posture, safety rules, the ECG analogy, physician accountability.
From ECG interpretation to ambient scribes. History, scale, and why now.
Technical literacy without the math overload. Hallucination vs retrieval.
Prompting reframed as workflow design, with a reusable physician template.
The spine. Classify before you choose a tool. Five-question screen + scorecard.
Fast, no-PHI wins: planning, triage, knowledge management, drafts.
Accelerate evidence work while protecting integrity. Catch fabricated citations.
Privacy literacy and a structured vendor scorecard. Not legal advice.
The 3-Pass Rule. Guard against deskilling and false reassurance.
Build your 30-day Responsible AI Implementation Plan.
See it before you commit
Lesson 5.1, "How Risk Literacy Lets Physicians Move Faster." One email gets you everything: the sample lesson video and slides, plus the free Safety Checklist and Risk Matrix.
No separate sign-ups. The same address gets you the sample lesson and both free tools, and puts you on the launch list for early access and founding pricing.
Already entered your email above? You're set, it's on its way. This is how I gauge real interest before opening enrollment, so it genuinely helps shape what gets built first.
Founding pre-order · lock the lowest price
Enrollment opens soon. Join now and you lock founding pricing, the lowest this course will ever be, plus first access at launch. Tap "Reserve at founding price" on the tier you'd want. It costs nothing today and tells me which tiers have real demand.
A recorded 60 to 90 minute workflow audit plus a personalized roadmap, or full team access with a private workshop, team use-case matrix, and policy walkthrough. Offered by application.
Who's building this
Currently pursuing graduate training in Artificial Intelligence in Medicine. I built this course because the AI education available to physicians is either vendor optimism or compliance pessimism — and neither helps you on a Tuesday afternoon.
Views are my own and do not represent the U.S. Navy, the Department of Defense, or any government agency. This course is a personal educational project.
I'm a working physician who cares about clinical workflow and patient safety first. I built this course to translate between three worlds I live in: the bedside, the AI tools, and the messy reality of implementing them responsibly.
My goal is simple. I want to help you become a confident, skeptical, genuinely effective user of AI in healthcare: someone who can supervise it, evaluate it, verify it, and help shape how it shows up in your department, all while keeping the patient relationship at the center where it belongs. I'm learning in the open alongside you, and I'd rather be honest about what I am and am not than oversell it.
Be first through the door
The Safety Checklist and Risk Matrix arrive in your inbox today. Launch updates and the sample lesson follow.
No PHI. No spam. Educational use only.
Common questions