From clinical questions to measurable improvement, AI changes the need for validation, governance, and analytics leadership

In this session, analytics leaders from Children's Healthcare of Atlanta and Phrase Health outline what robust data literacy requires, from asking an answerable clinical question to confirming that the answers actually improved care. As AI makes it easier to analyze data and produce answers, a harder question appears: which outputs can be trusted?

Drawing on CHOA’s experience with data stewardship, role-based education, and applied improvement projects, the panel shares a practical model for building this capability into everyday clinical work rather than treating it as a one-time training initiative. 

What You'll Learn:

• How to build data literacy into the flow of clinical improvement rather than treating it as a stand-alone training initiative
• When to route a clinical question to EHR-native self-service, enterprise analytics, internal development, or a purpose-built application
• How AI changes the need for validation, governance, and analytics leadership

Speakers: 

• Evan Orenstein, MD, CMIO and Vice President of Data & Analytics at Children's Healthcare of Atlanta
• Marc Tobias, MD, FAMIA, founder and CEO of Phrase Health

Register via the form to join us on Monday, October 5 for this free 30-minute session, or to receive the recording.