Please join our Dec. 3 (11 am ET) community call for a session focused on recent publications from the OHDSI community. More than 750 peer-reviewed studies focusing on OMOP or OHDSI tools, methods or practices have been published over the last decade, and we are excited to welcome the leads or co-authors of four recent publications to discuss their work on the next community call:
• Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study • Mathilde Fruchart, Data Scientist, CHU de Lille
• Standardised and Reproducible Phenotyping Using Distributed Analytics and Tools in the Data Analysis and Real World Interrogation Network (DARWIN EU) • Albert Prats-Uribe, Senior Clinical Research Fellow in Public Health, Health Data Sciences, Oxford University
• Learning health system linchpins: information exchange and a common data model • Aaron Eisman, PGY-1 Internal Medicine Resident, Yale School of Medicine
• Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach • Jiayi (Jessie) Tong, Assistant Professor, Department of Biostatistics, Johns Hopkins University
Everybody is invited. Calendar invites went out last week. If you did not receive one, please use the link on our community calls page to join the meeting.
