The curriculum // Healthcare leaders who use AI

In just 6 weeks, you can be AI literate.
9 weeks if you want to be a subject matter expert.

Everyone starts with the same six chapters, one a week or faster, and finishes with a graded one page AI pilot for their own department. Chapters 7 to 9 are the Q Track. They open the day you finish chapter 6 and end with a working AI agent and the Q credential. Nothing opens on a calendar. The course moves as fast as you do.

Take the free sample courseStart the course, $29.99
Chapters
9
Lessons
94
Minutes a lesson
5 to 10
Total teaching
About 12 hours
Show me the curriculum as a

Nine weeks, chapter by chapter.

01 // Week by week

Chapters 1 to 6 are the core. Chapters 7 to 9 are the Q Track. Each one below carries the week it belongs to, what you finish holding, and the signal from this week's news that it answers.

Week1Core
AI Foundations
Chapter 1 // 7 lessons, about 63 minutes

You cannot govern what you cannot see inside. This chapter takes the lid off.

Where you finish
You read any AI tool as three layers, know what kind of thing is in front of you, and explain why it is confident and wrong at the same time.
For an operations leaderThe kind of tool in front of you, so it gets the right governance from day one.
What the week teaches
Automation, copilot or agent, and the level of governance each one earns.
Why AI predicts instead of looking things up, and when verification stops being optional.
The line between a consumer tool and an enterprise tool covered by a business associate agreement, the contract that decides whether patient data may touch it.
Four questions that decode a polished vendor pitch into something you can decide on.
Week2Core
AI-Powered Problem Solving
Chapter 2 // 13 lessons, about 111 minutes

The craft chapter, and the longest in the core. You stop being a person who has AI and become a person who directs it.

Where you finish
You hold a personal prompt library, a reusable context file, and the judgment to know when the right move is to close the laptop.
For an operations leaderA context file that holds your department, so every prompt starts warm.
What the week teaches
CARE, the four beats of every prompt: context, action, result, example.
A context file that holds your world, so prompts shrink as it grows.
The four failure modes, echo, hallucination, drift and generic mush, and the fix for each.
The four moments when the right move is to not use AI at all.
Week3Core
Operategy
Chapter 3 // 9 lessons, about 81 minutes

Operations and strategy are one discipline, with AI as the instrument between them. This is the one week Operategy Micro Course.

Where you finish
You carry a problem from your unit up to the room that decides, and carry the approved decision back down to a pilot that works. Both directions, by hand.
For an operations leaderOperations and strategy run as one loop on the unit you already own.
What the week teaches
PARQ: Pinpoint, Assess, Route, Query, with the machine last on purpose.
Why AI does not give you time back until the workflow is redesigned first.
The Forward Loop and the Reverse Loop, drawn on your own department.
Why the AI front door is the wrong door, and where the strategic investment in access belongs.
This week in the worldState of Revenue Lifecycle 2026 report finds most organizations now embed AI into end-to-end revenue workflows, not point solutionsInnovaccer // September 9th, 2026
Week4Core
Governance, Policy and Ethics
Chapter 4 // 8 lessons, about 70 minutes

The year the rules got teeth. This chapter is the safety floor everything above it stands on.

Where you finish
You design a tool that passes review because the rules were built in rather than bolted on.
For an operations leaderRisk tiers, so a scheduling tool and a triage tool get different gates.
What the week teaches
The three federal questions every AI tool has to answer: who signed off, who owns it by name, and where the 30 day trail lives.
Three kinds of human check, and why a physician's call never goes to a threshold.
Risk tiers: two questions, four lanes, so the rigor matches the real risk.
The proxy problem, where a neutral looking number carries an old inequity forward.
This week in the worldReport warns hospital AI deployment is outpacing cybersecurity controls and proposes a structured AI security control plane for health systemsDigital Journal, Black Book report // September 1st, 2026
Week5Core
The Executive AI Toolkit
Chapter 5 // 9 lessons, about 82 minutes

The habits. This is the chapter that gives you your week back, one workflow at a time.

Where you finish
You run nine repeatable workflows on your own material, and at least one other person can run them too.
For an operations leaderContract review that pulls the five clauses that bite before the renewal date.
What the week teaches
Inbox triage that sorts 41 messages in 15 minutes. AI sorts, you decide.
A three scenario forecast in Excel, with the patient identifiers removed before anything is pasted.
Contract review that pulls the five clauses that bite: data exit, renewal, service level, liability and termination cost.
A newsletter in your own voice, taught from a voice file, never a generic draft.
This week in the worldNew 2026 RCM trends show AI widely adopted in claims, but only 15% of organizations report clear positive ROICentro, citing HFMA and FinThrive research // September 3rd, 2026
Week6Core
Capstone: Pilot Design
Chapter 6 // 6 lessons, about 55 minutes

Everything from chapters 1 to 5, aimed at one pilot you could propose this month.

Where you finish
One page, graded, that a committee could approve.
For an operations leaderOne page, one unit, 4 to 8 weeks, a written way back and a clear way to stop.
What the week teaches
The headache before the tool, with a number and a location attached.
Four yes or no questions that say no before you spend a pilot finding out.
A return anchored on a measured result, never a vendor's headline.
Qwerty, our AI tutor, grades the page against three rules that fail it outright, and says which and why.
This week in the worldPrime Healthcare suspended obstetrics services at three Chicago‑area hospitals, eliminating 75 full‑time nurse jobsAmerican Health Intel // September 2nd, 2026
Week7Q Track
Department Workflow Analysis
Chapter 7 // 12 lessons, about 85 minutes

The Forward Loop at department scale. Chapter 3 taught one operator carrying one problem up to one room, and here the problem is a whole mapped department.

Where you finish
You hold a one page findings memo, built on a verified number, that names the room the decision belongs in.
For an operations leaderEvery handoff and bottleneck decomposed in six steps, with redesign fifth rather than first.
What the week teaches
A 90 minute mapping session with the people who run the work, drafted by AI from their own words.
Every step sorted as Decision, Documentation, Communication or Coordination, each with its own human review.
One question through two AI models, and the divergence investigated instead of averaged away.
A findings memo with one verified number, one investigated divergence, a dollar line and the decision it enables.
Week8Q Track
Culture and Change Diagnostics
Chapter 8 // 14 lessons, about 94 minutes

The Reverse Loop at organizational scale. This is why a change survives contact with a culture, the half where most rollouts die.

Where you finish
You hold a One Page Operategy Micro Playbook a board can sign.
For an operations leaderA one page playbook a board can sign, with a named owner per step.
What the week teaches
The Culture Map, four patterns, and what each one speeds up and what it stalls.
The AI Readiness Typology: Architects, Ready Operators, Strategic Skeptics and Anchored Pragmatists, and the first move that fits each.
A dashboard a committee can audit, with a correction log that holds up.
The six elements a board signs and the three triggers that stop a pilot.
This week in the worldVA reports severe practical nurse and behavioral health staffing shortages across all 139 hospitalsBecker's Hospital Review // September 11th, 2026
Week9Q Track
Building and Governing Agents
Chapter 9 // 16 lessons, about 111 minutes

You build something that runs the loop when you are not in the room. This is the real escalation and it should feel like one.

Where you finish
A working agent, scoped, grounded, guardrailed, launched to 5 to 10 real users over 4 weeks, and a recorded episode proving it.
For an operations leaderAn agent launched to 5 to 10 real users on a 4 week window, with a named person holding the stop.
What the week teaches
The scope document and the refusals, written before the tool is chosen.
The six guardrails, from PHI exclusion by design to grounded answer routing, where the agent shows the passage its answer came from.
A 30 minute cohort defense with three Qs from different quadrants in the room.
Four weeks of analytics turned into one knowledge update and a scheduled retest.

Every lesson, 5 to 10 minutes.

02 // The lesson

Micro learning is the whole method. A lesson is short enough to finish between two meetings, and every screen asks you to decide before it tells you the answer. A wrong answer costs nothing. It is the fastest route to the operator logic, which we show in one paragraph the moment you choose.

Step 1
Reveal

The teaching. A concept, a worked example, or a scene in the hospital.

Step 2
Apply

You do the thing on your own material, with your own numbers.

Step 3
Guardrails

What goes wrong, and the rule that prevents it.

Step 4
Check

A graded question with feedback that teaches.

Step 5
Decide

A choice with its consequences written out, so you feel the cost of the wrong one before you pay it.

Two ways through the same lessons
Traditional

An operator explaining to another operator across a table. Chapters 1 to 9.

Story Mode

The same lessons told as a serialized hospital drama. You are a new operator at Quadrant University Hospital, and the lesson happens to you. Chapters 1 to 6.

You pick a mode when you start and switch any time.

03 // Where you stand

Six questions, then the weeks you need.

Answer honestly. The result names the chapters that close the gap and the hours they take. Nothing is saved and nobody sees it but you.

Start the course
I can tell whether a vendor is selling me automation, a copilot or an agent.Chapter 1 // AI Foundations
I keep a prompt library I reuse and a context file that holds my world.Chapter 2 // AI-Powered Problem Solving
I have carried a problem from my unit to the room that decides, and back down to a pilot.Chapter 3 // Operategy
My team has a written AI policy with a named owner and a defined human check.Chapter 4 // Governance, Policy and Ethics
I run at least three AI workflows a week on my own material.Chapter 5 // The Executive AI Toolkit
I have designed an AI pilot that a committee approved.Chapter 6 // Capstone: Pilot Design
Zero of six answered. Finish the six and the result appears here.

Four signals, four chapters that answer them.

04 // The ground that moved this week

Every morning our research run reads the news in the four quadrants and writes one line on what a leader does with it. Under each one is the chapter where you learn to do that thing, and the full board is on [Q]Tips.

Updated Tuesday, September 15th, 2026.
Operategyrunning the work
State of Revenue Lifecycle 2026 report finds most organizations now embed AI into end-to-end revenue workflows, not point solutions
Innovaccer // September 9th, 2026
For a leaderReview which revenue cycle processes truly have AI ownership today and where humans still make the key operational calls.
The chapter that answers itChapter 3, Operategy
Financethe money
New 2026 RCM trends show AI widely adopted in claims, but only 15% of organizations report clear positive ROI
Centro, citing HFMA and FinThrive research // September 3rd, 2026
For a leaderAsk your RCM team to quantify AI-related ROI in claims processing and identify where current automations fail to produce measurable financial gains.
The chapter that answers itChapter 5, The Executive AI Toolkit
Policy and Governancethe rules
Report warns hospital AI deployment is outpacing cybersecurity controls and proposes a structured AI security control plane for health systems
Digital Journal, Black Book report // September 1st, 2026
For a leaderOrder a review of your AI inventory, data flows and incident plans against Black Book’s recommended hospital AI security control plane.
The chapter that answers itChapter 4, Governance, Policy and Ethics
Workforce and Well beingthe people
VA reports severe practical nurse and behavioral health staffing shortages across all 139 hospitals
Becker's Hospital Review // September 11th, 2026
For a leaderAsk your team how your system is measuring and addressing critical shortages in nursing, psychology and psychiatry roles over the next 12 months.
The chapter that answers itChapter 8, Culture and Change Diagnostics

Start tonight for $29.99.

05 // The price

One course, one continuation. Nothing renews on its own.

Core course // chapters 1 to 6
AI for Healthcare Leaders
$29.99one payment, access does not expire

52 lessons, about 7 hours. You finish holding a prompt library, a context file, a one page AI policy, nine workflows you run on your own material, and a graded pilot design a committee could approve.

Six chapters, one a week or faster
Traditional track or Story Mode
Graded capstone pilot design
Founding price through September 30th, 2026. On October 1st, 2026 the course is $39.99.
Q Track // chapters 7 to 9
Become a Q
$149$49 application plus $100 on approval

42 lessons, about 5 hours, plus the agent you build. You map a department, read its culture, then scope, build, guardrail and launch a working AI agent to real users, and you finish certified as a Q.

Opens the day you finish chapter 6
Working AI agent, launched and audited
Q-Certified designation
One year of hands on AI work already behind you? The $99 experience pathway goes straight to chapter 7.

Membership is optional. $4.99 a month or $49.99 a year opens every Q-Kit and the Community. [Q]Tips are free.

Built for healthcare operators.

06 // Who it is for

If you work in this profession, you are welcome here. You do not need a technical background and you do not need a title.

Health system leaders

CMOs, CNOs, COOs, CFOs and service line leaders who make decisions about AI and teach their teams.

Clinicians in leadership roles

Physicians, nurses and allied health professionals who run a unit and want AI working inside it.

Revenue cycle, finance and IT leaders

Directors and VPs who apply AI to denials, forecasting and payer analytics, and the IT leaders who stand behind how it runs.

Healthcare administration students

MHA, MBA and MPH students who want to enter the field already fluent.

Continuing education

No continuing education credit yet. We are seeking CME and CE partners, and if you are one, we will come to you.

Talk to us about CME

Healthcare leaders who use AI. If that is you, we want to talk.

Founders, QuadCast partners, future Qs and people who want to build with us. Four doors, one form, about five minutes.

Join The Quadrant Company