AI Governance: How Should Hospitals Organize Themselves to Manage Risk and Opportunity?

AI Governance: How Should Hospitals Organize Themselves to Manage Risk and Opportunity? 
Generative AI Collaborative examples and dialogue with RUSH University

Wednesday, September 25, 2024   
1 - 2 p.m. Eastern; noon - 1 p.m. Central; 10 - 11 a.m. Pacific     

This webinar delves into the critical issue of AI governance in hospitals, exploring how health care organizations can strategically manage the risks and opportunities presented by artificial intelligence. Drawing on insights from the AVIA Generative AI Collaboration and the trusted AI Governance framework, Patrick Higley from AVIA will facilitate a conversation with RUSH University Health System, who will share their hands-on experience about how they are implementing effective AI governance frameworks.  

AI in health care has immense potential but also risks of adverse, unexpected and/or negative outcomes, requiring a framework focused on health impact, fairness, ethics and equity to ensure it benefits all impacted stakeholders. Attendees will learn about practical initiatives such as gathering stakeholder feedback to understand trust levels, algorithmic transparency to ensure there is an understanding of how AI models work, and other actionable strategies for deploying AI in a manner that enhances patient care while mitigating associated risks.    

Attendees Will Learn:

• Competencies organizations required for organizations to implement an effective governance framework.  
• How to design governance to assess, design, deploy, manage, monitor and sunset AI systems.  
• Use-case controls and adoption tactics across administrative and clinical areas.

Speakers:

Bina Desai, MD 
Chief Medical Informatics Officer 
Rush University System for Health 

Patrick Higley  
Vice President Center for Operational Transformation 
AVIA    

Stephen Hughes 
Director, Health Information Technology Policy 
The American Hospital Association