Elevate Compliance Data Capture & Reporting for DSCSA Requirements

Leverage our GLN-SLN Data Crosswalk for Holistic ATP Validation

DSCSA Requirements in Effect

DSCSA’s new requirements require pharmaceutical manufacturers, wholesale distributors, and third-party logistics providers to report location data of their product shipments as they move through the supply chain.

To meet these requirements, the industry has adopted Global Location Numbers (GLNs) as the standard for reporting location data, layering in GLN capture with State License Number (SLN) review as part of their comprehensive Authorized Trading Partner (ATP) validation. It is essential NOW for organizations to build and adopt data governance strategies for GLN – SLN linking and validation to ensure compliance.


If you are caught unprepared, you may be challenged with:

  • Disruption in your supply-chain management, as major supply chain players are moving to require both GLN & SLN data as part of EPCIS messages
  • The need for manual review and linking data, leading to potential shipping delays and non-compliance with outdated or error prone SLN/GLN data
  • Challenges with current healthcare data vendors not equipped to validate SLN-GLN data
  • Inability or delay in compliantly shipping products to the people who need it most

How MedPro Can Help

With MedProID, the industry-leading healthcare license validation platform, your organization gains a streamlined, automated solution for ongoing license validation and accurate SLN/GLN data validation across your supply chain. This approach helps ensure every shipment sent to ATPs is secure and compliant.  

Our first-of-its-kind SLN-GLN crosswalk includes serialized Global Location Numbers (sGLNs), with more than 250,000 matched associations (and growing) to fulfill ATP validation requirements. 


Our US-based Data Stewardship team provides complimentary data support and management for:  

  • Building a foundation for an efficient, scalable solution  
  • Continuous, accurate GLN verification and ongoing updates to ensure you have the latest data  
  • Reduced manual effort and minimized risk of human error 

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