Advances in Supply Chain through Auto-ID and Data Analytics Troy Reiff, RN

Objectives Improving Supply Chain operations GS1 Standards Advanced Technology Data Analytics

Improving Supply Chain Operations Supply Chain Strategy – Clinical collaboratives: Work with physicians to create clinically driven supply chain with decreased variation & improve on standardization = lower product and process costs – Reduce touch points – Improve effective charge capturing

GS1 Healthcare US GS1 Healthcare US is an industry group that is driving forward open, global standards to help healthcare companies improve the accuracy, speed, and efficiency of the supply chain and care delivery. Across the supply chain, trading partners are connecting with each other and leveraging the power of information by using GS1 Standards as the foundation of their business processes.

Advanced Technology Process: – Surgical Supplies Pick & Return

Advanced Technology Success: – Eliminated 12,000 supply errors –Saved 600 hours of O.R. time – Reduced inventory by 15% –Real-time Performance Reporting

Advanced Technology 2-Bin Kanban Inventory Management Solution: – 2-Bin Kanban software "learns" from consumption patterns in real-time, calculating correct bin quantities as changes in patient census, clinical practice and seasonal factors occur. Tracking consumption patterns, supply forecasting is improved and under- and over-stocking is eliminated.

Advanced Technology The 2-Bin Kanban solution combines lean management techniques with proprietary cloud-based software to continually increase supply chain management efficiency. Prevents overstocking and stockouts Eliminates expired/obsolete supplies Replaces expensive point of use systems Reduces clinical labor in materials handling Prevents costly inventory surpluses Improved supply forecasting

Supply Chain Data Analytics Supply Chain strategy map

Supply Chain Data Analytics

Supply Chain strategy map Visibility capabilities – Actionable intelligence Initiate analytics across the enterprise Higher data analysts Must optimize the use of analytics to improve supply chain operation outcomes

Supply Chain Data Analytics

Mike Thompson, IU Health, Regional Manager Statewide Supply Chain Operations

Conclusion Improving Supply Chain operations GS1 Standards Advanced Technology Data Analytics

Advances in Supply Chain through Auto-ID and Data Analytics Troy Reiff, RN