About This Course
Healthcare leaders operate in a uniquely complex risk environment, where AI decisions can affect patient care, regulatory compliance and public trust. Effective governance helps organizations innovate responsibly, while reducing operational and clinical risk.
In this course, you'll explore governance frameworks, compliance requirements and risk management practices for healthcare AI. You'll examine privacy, data governance, fairness, bias, safety monitoring and accountability to help ensure that AI systems remain effective, transparent and trustworthy.
What You’ll Learn
Strategies for designing governance structures that support responsible AI oversight and decision-making
Methods for evaluating privacy, regulatory and compliance considerations affecting healthcare AI
Approaches for identifying bias, fairness and data-governance challenges that influence AI performance
Best practices for developing risk assessment and safety monitoring plans for AI-enabled systems
Policies that promote accountability, transparency and responsible use
Get Hands-On Experience
Analyze healthcare AI governance case studies
Conduct a risk assessment for an AI implementation scenario
Develop governance and oversight recommendations for organizational leaders
Career Stats
22%
Projected growth in U.S. demand for risk management skills (2026-28)
20%
Projected growth in U.S. demand for artificial intelligence skills (2026-28)
Complete a Certificate
Combine this course with the AI Strategy for Health Systems and Implementing AI in Healthcare Organizations courses to earn the Certificate in AI Strategy & Implementation in Healthcare.
Earn a Digital Badge
After successfully completing this course, you can claim a digital achievement badge that can be shared on LinkedIn and other social media sites. Learn more about digital badges.
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Connect with an enrollment coach to learn more about this offering. Or if you need help finding the right certificate, specialization or course for you, reach out to explore your options.
This program is intended for professional development and is not designed to meet educational requirements for professional licensure or certification.