Novel Real-World Evidence Applications

Moderator

Doug Foster, MBA, Advanced Data Sciences LLC, San Francisco, CA, United States

As real-world evidence (RWE) increasingly informs HTA and policy decisions, ensuring data integrity, reproducibility, transportability and validity is critical. This session brings together innovative approaches such as virtual data pooling, Bayesian transportability of trial data, literature mining through Natural Language Processing (NLP), research-ready hospital data networks, and cross-cohort phenotype harmonization.  The  presentations highlight innovative solutions for integration of  heterogeneous datasets and scaling evidence beyond a single setting to support generalizable and decision-relevant outcomes.
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