Watch a 34-minute webinar presented by Dr. Amiee Feiqing Huang, a postdoctoral researcher from Harvard T.H. Chan School of Public Health, exploring how Electronic Health Records (EHRs) can generate Real-World Evidence (RWE) for chronic disease progression. Learn about a comprehensive pipeline that combines EHR data with registry information to evaluate longitudinal disease outcomes, demonstrated through a case study on predicting renal cell carcinoma recurrence risk. Discover how the 21st Century Cures Act and FDA's RWE framework are transforming regulatory decision-making by incorporating real-world data from diverse patient populations. Gain insights into advanced statistical methods, interpretable deep learning, and unsupervised hierarchical modeling techniques used to enhance the application of real-world data in healthcare settings. PACE credits are available for registered Labroots members until October 2, 2026.
Overview
Syllabus
Empowering Electronic Health Records to Uncover Real World Evidence in Chronic Disease Prog...
Taught by
Labroots