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GS1 Health Care data standard

GS1 Health Care

GS1 Data Care improves the quality, completeness and usability of healthcare product data shared via GDSN.
It focuses on medical devices and healthcare products where data accuracy directly impacts patient safety and operational efficiency.

DataModel - GS1 - Health Care

Typical sectors where these models are typically applied

Health Care
Medical Devices
Hospitals
Care Institutions
Healthcare Suppliers

Explanation

GS1 Data Care is a healthcare-focused data quality programme built on top of GS1 standards and GDSN.
It evaluates whether published product data is complete, consistent and usable within healthcare environments such as hospital ERP, inventory and clinical systems.



Unlike general GS1 validation, Data Care measures how well product data supports real-world healthcare workflows.

Why complex

  • Healthcare-specific regulatory requirements (UDI, MDR, device classification)
  • Strict traceability and safety requirements
  • Additional attribute expectations from hospitals
  • Continuous monitoring and scoring of data quality
  • Alignment between supplier data and hospital system requirements

Why companies struggle

Healthcare suppliers often assume that publishing to GDSN is sufficient.
However, hospitals require highly enriched and accurate datasets beyond minimum GS1 compliance.


Many organisations lack visibility into which attributes are missing or insufficient for healthcare usage, leading to:
- Procurement delays
- Manual correction requests
- Lower data quality scores
- Reduced product visibility in hospital systems

How Qmica helps

Qmica integrates GS1 Data Care requirements into the publication workflow:

  • Dynamic validation against healthcare-specific attribute sets
  • Pre-publication completeness scoring
  • Identification of missing or high-impact attributes
  • Support for regulatory identifiers such as UDI-DI and device classification
  • Continuous monitoring before and after GDSN publications

Qmica ensures healthcare product data is not just compliant — but truly healthcare-ready.


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One internal dataset, multiple external models

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