Healthcare organizations are sitting on an untapped wealth of data but too often, critical safety signals remain buried within narrative reports and siloed systems. As patient safety demands become more complex, leveraging AI to uncover hidden patterns isn’t just an advantage; it’s a necessity. 

In this discussion, Dr. Grace Lee, Chief Quality Officer at Stanford Children’s Health and Dr. Tim McDonald, Chief Patient Safety and Risk Officer at RLDatix, will explore how AI is transforming the way health systems learn from data. They’ll share how deeper analysis of safety events can illuminate underlying risks, drive proactive interventions and strengthen a culture of continuous learning and improvement. 

LEARNING OBJECTIVES: 

• How AI reveals patterns and risk signals that can be missed by human review. 
• Strategies for turning unstructured data into actionable safety insights. 
• Real-world examples of how predictive intelligence can inform safer, smarter care decisions.