Generative AI continues to reshape health care workflows, documentation, and quality improvement efforts. This session examines how AI tools can support patient care while addressing risks related to privacy, bias, liability, and accuracy. Explore governance strategies, validation practices, and oversight approaches that support responsible implementation in clinical settings.

Educational Objectives

• Describe capabilities and clinical applications of generative artificial intelligence in health care
• Identify legal, ethical, and regulatory risks associated with artificial intelligence integration
• Apply practical strategies for responsible artificial intelligence implementation

Level: Intermediate