Session Description: The conversation around AI in health care has quickly shifted from “Should we?” to “How much and how fast?” as AI becomes embedded in everything from clinical documentation to patient-facing tools. With this rapid adoption comes real risk—liability, automation bias, data privacy concerns, and trust issues—all unfolding faster than policy and law can keep up. This session unpacks the new realities health centers face in selecting, using, and overseeing AI tools across operations, and offers practical strategies for moving forward without compromising compliance, care, or credibility. Join us to explore how health centers can be smart, safe, and strategic in a high-speed AI landscape. This session is part of a larger series,"Building Tomorrow's Health Center, Today", that can lead to you earning a digital badge.

Series Description: 
This learning pathway is a comprehensive, structured series designed for health center leaders and IT professionals focused on the future of their organization's technology infrastructure. This progression guides participants through the strategic considerations, best practices, and innovative approaches to designing and implementing robust Health IT and data systems. Moving from foundational principles to advanced concepts, the series covers topics such as system interoperability, data governance, scalable architecture, and leveraging emerging technologies to enhance patient care and operational effectiveness. By the end of this pathway, you will have a clear roadmap for building a resilient, integrated, and future-ready health IT ecosystem.