James Dzuba

Effective logistics and supply chain management are critical to the success of modern healthcare systems. This panel will delve into the unique challenges and opportunities faced by healthcare providers in optimizing their logistics operations. Experts from leading health systems will share insights on best practices for reducing costs and enhancing operational efficiency through innovative logistics solutions. Panelists will share practical applications and insights on:

• Leveraging centralized distribution and consignment models to optimize inventory management and reduce costs
• Measuring success
• Technology to optimize logistics processes, reduce costs, and enhance overall operational performance

In today's complex and dynamic healthcare landscape, supply chain visibility is paramount for ensuring patient care, optimizing operations, and mitigating risks. This panel will explore how leveraging AI and fostering data collaboration across the entire healthcare supply chain can revolutionize demand forecasting, inventory management, and allocation strategies. Join industry leaders as they discuss practical strategies for breaking down data silos, harnessing the power of AI, and transforming supply chain operations for enhanced efficiency, resilience, and patient outcomes. By fostering open dialogue and sharing best practices, this panel will provide valuable insights and actionable strategies for healthcare organizations seeking to achieve ultimate supply chain visibility and optimize their operations.

• Overcoming challenges in data sharing and establishing standardized data formats to enable seamless collaboration across the healthcare supply chain 
• Sharing successful implementations of AI-driven supply chain visibility initiatives and quantifiable results achieved
• Employing AI for accurate demand forecasting, optimizing inventory levels, reducing stockouts, and minimizing carrying costs, as well as to effectively manage product distribution, prioritize critical supplies, and reduce backorders