Publications

Hospital benchmarking is a data-driven approach that enables paediatric hospitals to compare clinical and operational performance, identify best practices, and improve the quality and efficiency of care. Within PHEMS, benchmarking is supported through standardised...

Synthetic data generation (SDG) for structured health data is increasingly promoted as a solution to longstanding barriers in health data access, offering the promise of privacy-preserving data reuse for research, innovation, and policy. Despite rapid technical...

"The power of standardisation:​ Adopting the OMOP CDM to enable insights from cardiac benchmarking across multiple European paediatric centre." Authors: Briggs L, Khadka P, Key D, Patel S, Taylor A. 143 BMJ Paediatric Open. 2026;10(Suppl 1).  Available here.   

PHEMS has developed a document with a set of Frequently Asked Questions (FAQs) aimed at supporting a clear and comprehensive understanding of the project. It addresses the most common questions related to the project's objectives, scope, implementation, and...

Working with health data means dealing with a lot of complex concepts - and clarity is key. To make collaboration clearer and smoother, PHEMS has just launched a comprehensive Glossary that brings together the key concepts in pediatric health data sharing and...

The Pediatric Health Data Space (PHDS) will be a trusted digital ecosystem designed to address the unique challenges of pediatric healthcare through secure, privacy-preserving data sharing. Building on the PHEMS project, PHDS will enable collaborative research,...

This white paper provide a comprehensive examination of data federation within a Trusted Research Environment (TRE), using Aridhia’s collaboration with the PHEMS consortium as a practical, real-world example.

PHEMS hosted an online hackathon using real PICU data to predict sepsis six hours before onset, testing innovative machine learning strategies.

Federated Data Networks are transforming pediatric clinical research by enabling secure, cross-border collaboration on rare and complex diseases while protecting patient data.