IDNs are operating in an increasingly volatile financial environment where retrospective reporting is no longer sufficient to guide decision-making. Supply chain leaders are now expected to anticipate risk earlier, improve visibility into cost drivers, and support enterprise planning through more forward-looking financial intelligence. As predictive analytics and emerging AI-enabled tools become more integrated into supply chain and finance functions, IDNs nationwide are exploring new ways to model demand, identify financial exposure, and mitigate disruption before it impacts margins or patient care.

Join healthcare finance and supply chain leaders as they discuss how IDNs are leveraging predictive analytics and emerging technologies to strengthen financial visibility and improve enterprise risk management.

Learning Objectives:
1. Identify key financial and operational risk factors that can be better anticipated through predictive analytics. 
2. Analyze how forecasting tools and AI-enabled models improve visibility into supply chain and cost variability. 
3. Evaluate approaches for integrating predictive insights into enterprise financial planning and decision-making. 
4. Develop strategies for using forward-looking data to mitigate risk and improve financial stability across the IDN.