Seminar Series: Patrick Ryan, PhD, Janssen Research and Development
"An Open Science Community Approach to Observational Research: Lessons from the Observational Health Data Sciences and Informatics (OHDSI) collaborative"
Observational health data, such as electronic health records and administrative claims, offer the potential to provide real-world evidence about disease natural history, treatment utilization, and the effects of medical interventions. However, realizing that potential has proven difficult and the entire research community faces the challenge of how to demonstrate the reliability and reproducibility of observational science and how to improve the efficiency of the observational research process. The Observational Health Data Sciences and Informatics (OHDSI, http:/
lohdsi.org) collaborative is an open science community that conducts methodological research, develops open-source analytics, and applies community solutions to clinical questions of interest across an international network of observational health databases. OHDSI aims to improve health by enabling more reliable evidence generation, and has focused in clinical characterization for descriptive epidemiology and quality improvement, population-level effect estimation for safety surveillance and comparative effectiveness, and patient-level prediction for precision medicine and disease interception. This talk with highlight the OHDSI community's progress and offer future directions for collaborative research.
Li Ka Shing Center, LK320, 3rd Floor
291 Campus Drive
Palo Alto, CA
Patrick Ryan, PhD
Sr. Director and Head, Epidemiology Analytics
Janssen Research and Development