Location

Productivity and Quality Institute - Alexandria

Objectives

• 1. Understand AI Governance: Define AI governance and its significance within the healthcare context.2. Identify Key Components: Recognize the critical components of AI governance, including ethical considerations, regulatory compliance, and risk management.3. Develop Governance Frameworks: Create frameworks that ensure responsible and transparent AI use in healthcare operations.4. Implement Best Practices: Apply best practices for data management, algorithm transparency, and stakeholder engagement in AI projects.5. Evaluate Impact: Assess the effectiveness of AI governance strategies in enhancing patient care and organizational performance.

Outcomes

This course equips healthcare professionals with the knowledge and tools necessary to prioritize AI governance effectively. By focusing on ethical practices, regulatory compliance, and stakeholder engagement, participants will learn to implement strategies that enhance the responsible use of AI technologies, ultimately improving patient care and organizational outcomes.

Course Contents

1. Introduction to AI in Healthcare2. Understanding AI Governance3. Ethical Considerations4. Regulatory Compliance5. Risk Management in AI Implementation6. Data Governance7. Stakeholder Engagement8. Measuring Success and Impact9. Future Directions and Challenges