Description
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.
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, Oschner
Moderator:Karrey Pecore, MHA, CMRP, Senior Solutions Development, Amazon Business, Healthcare
CECs: 1