A new opportunity for health professionals, researchers, and industry practitioners to gain an immersive, hands-on training to working with real-world health data and generating real-world evidence (RWE) is happening THIS JULY. For the first time, the Columbia University Department of Biomedical Informatics in New York City is hosting the 2025 Summer School in Observational Health Data Science & Informatics, AI, and Real World Evidence.
Participants will explore the types of healthcare data captured during routine clinical care—such as electronic health records and administrative claims—and learn how to standardize these data using the OMOP Common Data Model to support collaborative, distributed research as part of a data network. Session faculty George Hripcsak, Patrick Ryan, Anna Ostropolets and Karthik Natarajan will mentor individuals interested in learning how to design and execute observational database studies focused on clinical characterization, population-level estimation, and patient-level prediction using distributed real-world data networks. Participants will also learn how to assess the reliability and interpretability of real-world evidence.
Registration is capped at only 30 participants this summer, so don’t wait to register! More details and the registration link are available here: Columbia OHDSI Summer School
