AI Governance in Healthcare

About this course

AI Governance in Healthcare

Artificial Intelligence is transforming healthcare at an unprecedented pace. From clinical decision support and medical imaging to generative AI and precision medicine, AI is becoming an essential part of modern healthcare delivery. However, successful AI adoption requires much more than technology—it requires effective governance.

This course provides a comprehensive and practical guide to AI Governance in Healthcare, helping healthcare organizations deploy AI responsibly, safely, ethically, and in compliance with emerging global regulations.

Unlike technical AI courses that focus on developing machine learning models, this course focuses on governing AI throughout its entire lifecycle—from procurement and validation to deployment, monitoring, and retirement.

Throughout the course, you will learn how to evaluate AI systems using internationally recognized governance principles, regulatory frameworks, and real-world healthcare case studies.

What you'll learn

Understand the principles of AI Governance in healthcare

Apply governance frameworks to real healthcare AI systems

Navigate the EU AI Act, FDA Software as a Medical Device (SaMD), HIPAA, GDPR, and other healthcare regulations

Evaluate AI validation evidence and identify common implementation risks

Understand algorithmic bias, fairness, transparency, and explainability

Design governance processes for Clinical Decision Support Systems (CDSS)Govern Generative AI and Large Language Models (LLMs) in healthcare

Build privacy and data governance frameworks

Establish institutional AI governance structures and governance committees

Prepare healthcare organizations for future AI governance challenges

Practical course structure

This course includes:12 comprehensive modules

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