GPC classifies products by grouping them into categories based on their essential properties and their relationships to other products.

The United States Food and Drug Administration (FDA), the European Commission and other regulators have made patient safety a strategic priority by developing legislation for Unique Device Identification (UDI). This short GS1 guide on Unique Device Identification for Medical Devices explains what UDI is and how it relates to existing GS1 standards for item identification.

The GS1 System of Standards supports all stakeholders to efficiently and effectively meet UDI requirements by enabling interoperability within an organisation, between organisations and across borders. A single standard can ultimately accelerate implementation and increase compliance to the UDI regulations. This leaflet outlines UDI requirements in GS1 terms including product identification, barcode symbols and electronic data sharing.

A brief introduction to GS1 Standards in Healthcare. Learn how GS1 Standards enable organisations to Identify, Capture and Share data to enable patient safety, efficiency and traceability.

Global standards for automatic identification provide an opportunity to make the healthcare supply chain safer as well as more efficient and accurate. Healthcare regulators and trading partners have realised that a global standardised identification system from manufacturer to patient treatment is imperative to comply with the increasing need for product traceability around the world.

A short introductory guide to Medical Device UDI Data Sharing with GS1 Data Synchronisation Standards and the GDSN

Some GS1 Acronyms commonly used in healthcare explained.

In today's changing landscape, healthcare providers across the globe must transform their processes to provide value, quality and safe care. They must also work to eliminate waste and inefficiencies; achieve financial sustainability; and leverage information technologies to improve performance. Hospitals are using GS1 Standards to ensure the reliability of data and optimise processes to reduce preventable errors, enhance Electronic Health Record management and provide transparency for better clinical and supply chain management.