AI in healthcare: an overview

About this course

A course for administrators, project managers, and healthcare leaders who evaluate or prepare to deploy AI solutions without a medical background. It covers where AI is actually used — from administrative processes to clinical tools — and explains why an overview course deliberately doesn't teach clinical practice, doesn't cover diagnostic algorithms, and doesn't replace a doctor's judgment.

Lessons move from a map of use cases and how to read vendor quality claims — 'What model accuracy means and why it's not enough,' 'False positives and false negatives: the cost of each' — through administrative scenarios: documentation, routing, resource planning, communicating with patients in plain language. From there it moves to patient data handling, de-identification modes, and consent, ending with assessing process readiness, running an honest pilot, and the fallback procedure when a system fails.

The course suits people who make or prepare decisions about deploying AI in a clinic, hospital, or healthcare organization — administrative and project staff, not clinicians. No medical or technical background is required, but the course doesn't replace a doctor's or clinical expert's judgment; experience with your organization's actual processes matters more.

What you'll learn

• Tell clinical and administrative AI use cases apart by risk level
• Read and stress-test a vendor's accuracy claims
• Assess how a model transfers to a different patient population
• Build a checklist of questions to ask a vendor before deployment
• Define data handling and de-identification modes for patient data
• Assess whether a process is ready for AI deployment
• Run a pilot without fooling yourself about the results
• Define the fallback procedure and the human-in-the-loop role when a system fails

What you'll end up with

• A memo assessing one AI solution for your organization
• A rollout plan for one administrative area
• A patient data handling policy for AI use
• A deployment readiness document with risks and a plan, plus a certificate on paid plans

This course doesn't teach clinical medicine, diagnostic algorithms, or dosing, and it doesn't replace a doctor's or clinical expert's judgment — it's an overview for people making management decisions, not medical guidance.