
Making Real-World Evidence a reality for research and care in urology. Powered by Big Data brought together in the UEH Data Haven. The UEH platform unites and transforms clinical insights for urological conditions into actionable tools, supporting personalised, evidence-based treatment. UEH is shaping the future of urology practice worldwide.
Clinical trials often conducted in small, homogeneous groups that don't represent real-world diversity.
Information about long-term effects and safety profiles are frequently incomplete or missing.
Critical evidence gaps that cannot be filled fast enough with traditional randomized clinical trials.
The EAU has launched the UroEvidenceHub: A state-of-the-art technology platform connecting vital urological data and facilitating analysis.
Collecting large volumes of Real World Data to generate trusted Real World Evidence.
Seamlessly connects with current and future data hubs and urology initiatives.
Bringing together stakeholders from academia, industry, and healthcare.
Real-World Data
Petabyte Scale
AI Insights
Neural Networks
Global Reach
50+ Countries
High Speed
Real-time Analysis
Go beyond clinical trials. Integrate data from registries, health systems, and digital sources to reflect real-world treatment performance across diverse populations.
Explore large-scale datasets that uncover trends, outcomes, and treatment patterns at population level to shape smarter, targeted patient care approaches.
Stay aligned with latest research including observational studies and pragmatic trials, bridging traditional evidence with real-time intelligence.
Access curated summaries of real-world studies and how they complement or challenge findings from randomized controlled trials through advanced AI analysis.
Understand how big data insights inform and refine EAU Guidelines—making them more applicable to everyday practice through predictive analytics.
Interactive resources built on real-world evidence to support patient-centred care, risk stratification, and treatment optimization using machine learning.
Built by urologists, epidemiologists, and data scientists under EAU leadership using cutting-edge methodologies.
Focused on translating complex data into practical, actionable knowledge for front-line care through advanced AI.
Designed to reflect and support urological practice across various healthcare systems with quantum-scale processing.
Empowering personalised, predictive, and precise clinical decision-making through next-generation technology.
Join one or more of the EAU UroEvidenceHub projects. Be part of the revolution in evidence-based urological care through quantum-powered analytics and real-world insights.