Healthcare leadership · Artificial intelligence
The Healthcare
Leader’s Guide to AI
A Practical Framework for Implementing AI Without Losing the Human Element
Make better AI decisions.
Keep people at the center.
Coming soon. Read a sample chapter below.

Lead with understanding
AI is a leadership issue.
A practical guide for healthcare leaders making decisions about AI—and the people those decisions affect.
Ask better questions
Evaluate AI proposals and vendor claims without getting lost in the hype.
Match review to risk
Apply the right level of review for what could go wrong, how hard it would be to repair, and who could be affected.
Prepare your people
Build governance that keeps up with new tools and helps your team carry the change.
From the book to your team
Put the framework
to work.
Practical resources to help your team turn understanding into action.
Explore reader resourcesA look inside
From the first question
to the next decision.
Fourteen chapters connect AI literacy, proportionate understanding, and the everyday work of leading.
Written for leaders across healthcare, from small practices to health systems. You don’t need a technical background. You do need to care about the work and the people it affects.
Read chapter oneIn the book
The leadership challenge
- The Wrong Question
- What Leaders Actually Need to Know About AI
- Hype, Fear, and the Discernment Gap
The framework
- The Context Principle and the Context Cycle
- The Four Lenses of Understanding
- How Much Understanding Is Enough?
- Understanding Debt
Putting it into practice
- Build Governance Before You Need It
- Evaluating AI Tools and the Vendors Behind Them
- Risk, Regulation, and the Audit-Ready Organization
- Ethics as Infrastructure
- Trust Is the Deployment Environment
- Innovation Without Recklessness
- The Enduring Leader