Real-World Evidence, Real-World Data and Healthcare Analytics
Real-World Data (RWD) and Real-World Evidence (RWE) are increasingly important for generating insights that complement traditional clinical trial findings. This session will explore the use of electronic health records, claims data, registries, patient-generated data, and healthcare databases. Participants will learn how healthcare analytics can transform large datasets into meaningful evidence for clinical decision-making. The session will highlight applications of RWE in treatment effectiveness, safety assessment, healthcare outcomes, and post-market surveillance. Advanced analytics, data science, and statistical methods for evaluating real-world healthcare data will also be discussed. Experts will examine challenges involving data quality, interoperability, privacy, bias, and methodological validity. The track will explore how RWD and RWE can support regulatory decisions, clinical research, healthcare planning, and personalized care.
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