Defining COVID-19 Cohorts in Real-World Data

This presentation was given at the Reagan-Udall Foundation and Friends of Cancer Research COVID-19 Diagnostics Evidence Accelerator Parallel Analysis meeting by Noelle Cocoros, Judith C. Maro, and Jeff Brown from Sentinel Operations Center. The presentation includes both “Defining COVID-19 cohorts in real-world data” and “Data Type Considerations in Data Networks”. In “Defining COVID-19 cohorts in real-world data,” Noelle Cocoros provides considerations for cohort identification in claims and electronic health record (EHR) data in relation to real-world data studies. In “Data Type Considerations in Data Networks,” Judith C. Maro and Jeff Brown discuss commonly used electronic data types and the impact of missingness in study protocols.