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 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
Supply Chain Data Analytics
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