SPRING SUMMIT 2025: UNDERSTANDING AI
Building Intelligent Automation in Health Care Supply Chain: From Chatbots to Autonomous Workflows

Description:

This session will explore how healthcare organizations leveraged artificial intelligence and predictive analytics to maintain supply chain continuity during recent natural disasters, particularly Hurricanes Helene and Milton.

Through real-world case studies and examples, attendees will learn how AI-enabled disruption monitoring, crowdsourced intelligence, and automated early warning systems that helped health care systems prepare for and respond to major supply chain disruptions.

Learning Objectives:

• Understand how AI-powered early warning systems can help predict and mitigate supply chain disruptions during natural disasters.
• Learn practical strategies for implementing predictive analytics in healthcare supply chain operations.
• Examine the role of crowdsourced intelligence in building supply chain resilience.
• Evaluate the impact of automated disruption monitoring on hospital operations during crisis situations.
• Discover best practices for integrating AI tools into existing supply chain processes.

Format:

Panel Presentation

Speakers:

Reuben Mathew Philip, Director of Product, Clarium Health

Carolyn Yaccarino, Director, Yale-New Haven Health Services Corporation

Jonathan Arce, Manager, CSC Analytics & MMIS, Yale-New Haven Health Services Corporation

Kyle Simnick, Director, Supply Chain Data Governance & Resiliency

Rene Gurdian Jr., AVP, Supply Chain Finance & Strategy, Oschn

Moderator:

Karrey Pecore, MHA, CMRP, Senior Solutions Development, Amazon Business, Healthcare