Autonomous Supply Chains: Insights from Duke Health’s AI Transformation with Chooch AI

Every hospital supply chain leader faces the same challenge: real-time visibility into what supplies are on hand, how much is being consumed, and what optimal reorder levels should be—without risking stockouts that delay patient care or holding inventory that ties up capital and creates shrinkage and expiration risk.

The challenge impacts all departments. Supply chain teams need SKU-wise, department-wise consumption data for informed replenishment decisions. Clinicians need confidence that supplies will be available when needed. Finance needs accurate demand forecasting to optimize working capital. Operations need visibility across hospitals' systems.

In this session, we will discuss real-time vision AI, an approach leading organizations are now deploying a technology that automatically counts inventory, detects consumption patterns by SKU and department, triggers replenishment, and allows accurate demand forecasting and business planning.

At Duke University Health System, implementing this approach transformed how they manage inventory across their enterprise. In this session, Shalom Johnson, Vice President Site Operations at Duke, will share their journey—the strategy that worked, how they integrated AI-driven automation into clinical workflows seamlessly, and the system-wide benefits that created alignment across supply chain, clinical, and finance stakeholders.

Please Note: This is an industry-supported program and is not eligible for CEUs.

DISCLAIMER: The views expressed by presenters in this program should not be construed as directly representing the views of the Association for Health Care Resource & Materials Management (AHRMM). AHRMM does not endorse any products or services promoted in this program. By registering, you agree AHRMM can share your contact information with the webinar sponsor.

Learning Objectives

• Understand Real-World Results from AI-Powered Inventory Vision Systems that auto counts, auto orders and provides intelligence for forecasting. Examine measurable outcomes from Duke's deployment—including stockout reduction, inventory optimization, and productivity gains—and how these results are getting translated across different departments and facility types within their health system.
• Design and Deploy AI Inventory Systems Without Disrupting Clinical Workflows. Learn the best practices that enabled Duke to implement system-wide AI vision monitoring with zero workflow disruption for nursing and clinical staff.
• How to Build System-Wide Buy-In by Connecting Supply Chain Automation to Clinical Readiness and Financial Impact. Discover how to articulate interdepartmental value—connecting supply chain efficiency gains to improved patient care readiness, reduced emergency procurement costs, and optimized real estate utilization to accelerate stakeholder alignment.