10 questions every physician executive needs before signing off on an AI deployment. Four hours. One artifact: a completed Due Diligence Checklist you walk into the vendor meeting with. Not a certificate. A tool.
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You get an email on a Thursday. It says: vendor demo next Tuesday, you're on the committee. You have four days, no institutional budget line, and you need to know what to ask so you don't end up clinically accountable for a tool no one properly vetted.
Most AI courses are built for the executive setting strategy over 12 weeks. This course is built for the physician in the room when the contract is already on the table.
The 10 questions in this framework came from vendor meetings at Oracle Health where I watched accountability get assigned to physicians who had no idea it was happening. These are not theoretical. They are what I actually asked.
Sarah Matt, MD, MBA
These questions were not developed in a workshop. They came from AI governance work inside Oracle Health and vendor evaluations across dozens of health systems.
Each question is taught with: what you are actually asking, why it matters clinically, what a bad answer looks like, and one red flag phrase to listen for in the vendor meeting.
Clinical & Validation (Questions 1-5)
What type of AI is this, exactly?
Tier classification drives everything: failure modes, regulatory status, and oversight requirements differ by category.
What data was this trained on, and does it look like my patient population?
Training population bias is the most underdisclosed risk in clinical AI. Pilots routinely obscure this.
What is the peer-reviewed evidence for this tool's performance in a real health system, not just a pilot?
Pilots succeed by design. Peer-reviewed real-world data is what matters for clinical accountability.
What does the FDA classify this as, and why?
Vendor SaMD classification is frequently contested. Non-clearance is not the same as non-regulated.
What happens when the tool is wrong? Who is notified, how fast, and who has authority to pause deployment?
Failure mode accountability is almost never in the vendor pitch. It is almost always in the contract.
Contractual & Governance (Questions 6-10)
Who in my organization is named as clinically accountable for this tool, in writing?
If the answer is "TBD" or "the committee," that is an accountability gap waiting for a bad outcome.
What does the contract say about data ownership, model access, and my right to audit?
Health systems routinely sign away rights to their own patient data derivatives. This clause is where it happens.
What are the exit provisions? Can I terminate if the tool underperforms, and what does termination cost?
Exit terms are negotiated at signing, not during a performance problem. Ask before the ink is dry.
Is there a state-level regulatory obligation that applies to this tool, and does the vendor know what it is?
Vendors frequently do not track state law. The health system absorbs the compliance liability when they don't.
What does the post-deployment monitoring infrastructure look like, and who reviews those reports?
Deployed AI without active monitoring is not governance. It is hope. This question separates vendors who know this from those who don't.
Every module feeds the Due Diligence Checklist. If it doesn't build the deliverable, it isn't in the course.
Sarah on camera. One story: a physician leader who did everything right, signed the form, and ended up in peer review six months later because nobody told her what questions to ask. This module sets the frame.
The four most common points in an AI procurement process where physician accountability is assigned without physician awareness. Includes a listening guide that directs you to the concepts that feed your checklist.
The core of the course. Each question taught in depth: what you are actually asking, why it matters clinically, what a bad vendor answer looks like, and the one red flag phrase to listen for. Five questions per lesson.
The three contract clauses that most often assign clinical accountability to physician leaders without their awareness. Includes the Contract Red Flag Glossary: eight common contract phrases and what they actually mean for your liability.
Apply all 10 questions to one real or hypothetical AI tool and produce your completed Due Diligence Checklist: a print-ready, branded PDF with every question, a Red/Yellow/Green scoring column, and a notes field. You keep it. You use it in every future AI procurement situation. This is the document that makes the course worth every dollar.
Medical director, department chair, CMIO candidate, VP of Medical Affairs, or physician member of an AI selection committee. You need to know what you're accountable for before anything gets signed.
Four hours is enough time to complete this course and have your checklist ready before any meeting. That is the design intent.
You need physician-grade clinical credibility backing your questions. The 10-question framework gives you a structured approach that holds up in any procurement committee.
The Due Diligence Checklist you complete in this course is reusable. Build it once for the tool in front of you. Use the framework for every subsequent evaluation.
This course is not for: C-suite executives setting AI strategy across their organization (see the Clinical AI Governance Course for that), technical IT staff, or students and residents. Different buyer. Different price point. Different purpose.
| Feature | Before You Sign | Most Healthcare AI Courses |
|---|---|---|
| Produces a usable operational artifact | Yes — the Due Diligence Checklist | No — certificates and comprehension quizzes |
| Designed for immediate use (days, not weeks) | Yes — four hours, ready before your next meeting | No — 10 to 40-hour programs with semester formats |
| Taught by a practicing physician with direct vendor experience | Yes — MD, MBA, former Oracle Health VP | Rarely — academics, consultants, or technologists |
| Covers contract accountability language directly | Yes — Module 3 plus the Contract Red Flag Glossary | No — most courses do not address contract review |
| Price point | $247 early access | $500 to $5,000+ |
I am a physician executive and commercial strategist. I spent years inside Oracle Health governing AI deployment across a portfolio of 40+ health systems. I evaluated vendor contracts, sat on procurement committees, and watched physician leaders sign accountability documents they did not fully understand.
The 10 questions in this course are the ones I actually asked. They are not a framework I built in a classroom. They are what I used when it mattered.
I wrote The Borderless Healthcare Revolution and created the Clinical Realist Podcast. This course is the shortest path I know to putting a physician in a position of clinical accountability from a place of clarity rather than assumption.
Yes. The checklist is designed to be used proactively. Physician leaders who complete this course report using the framework during initial vendor conversations, not just at contract review. Knowing the 10 questions changes how you run every meeting, not just the one where the contract is on the table.
The Governance Course is for C-suite leaders setting AI strategy across an organization: CMOs, CIOs, and hospital CEOs with institutional budgets and 12-week timeframes. That course produces an AI Readiness Pulse Report for your organization. This course is for the physician in the room when a specific tool is being evaluated or a contract is being signed. Different buyer, different urgency, different deliverable, different price point. There is no overlap.
Four hours, self-paced. Most physicians complete it in two sessions. The checklist capstone adds 30 minutes but can be done in parallel with an active procurement review, which is the intended use case.
Immediate access to all course materials: all module videos, the listening guide PDFs, the Contract Red Flag Glossary, and the fillable Due Diligence Checklist PDF. Lifetime access. You can return to any section whenever you need it.
Early access is $247. Standard price is $297. Early access pricing is available now and applies until the full course launch. No countdown clock, but the price changes when launch is announced. Lock in the lower rate while it is open.
Yes. 14-day money-back guarantee, no questions asked. If you go through the course and decide it isn't right for your situation, contact the team within 14 days of purchase for a full refund.
Four hours. One checklist. The questions that change what you sign and what you are held accountable for.
Early Access • Immediate Enrollment • Lifetime Access
Enroll at Early Access Price →If you go through the material and decide it isn't the right fit, contact the team within 14 days for a full refund. No friction.