About the Journal
Annals of Real-World Data & Evidence (ARWDE) /pronounced RWD/ is an international, multidisciplinary journal publishing original research, methodological frameworks, data source profiles, application presentations, and protocols in the field of non-interventional studies. The journal addresses the critical need for methodological rigor in the use of real-world data (RWD) for real-world evidence (RWE) generation for clinical, commercial, regulatory and health-technology assessment decision-making. Key areas of focus include data provenance and quality appraisal, data science methods, target trial emulation, bias mitigation, and the application of artificial intelligence in evidence generation. By bridging the gap between informatics and clinical outcomes, ARWDE provides a specialized platform for the dissemination of evidence that meets the evolving requirements of global health authorities and payers.

Where Data Meets Decisions
- Data custodians showcasing infrastructure transparency
- Methodologists advancing causal inference and AI validation
- Regulators & HTA bodies accessing auditable evidence frameworks
- Industry leaders demonstrating real-world value generation