Please join us Tuesday, June 27 (11 am ET), for our next OHDSI Community Call, which will feature five recent publications that have come from our community. We will hear about the following studies from their respective leads:
Building the observational medical outcomes partnership’s T-MSIS Analytic File common data model (Informatics in Medicine Unlocked) • Nick Williams, Applied Clinical Informatics Branch, National Library of Medicine
Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study (EClinicalMedicine) • Erica Voss, Senior Director, Janssen Research & Development
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases (NPJ Digital Medicine) • Alexandros Rekkas, PhD Student, Erasmus MC
Representing and utilizing clinical textual data for real world studies: An OHDSI approach (Journal of Biomedical Informatics) • Vipina Keloth, Postdoctoral Associate, Yale School of Medicine
Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs (JAMIA) • Peter Leese, Program Director and Lead Scientist, University of North Carolina School of Medicine
Everybody is invited. Calendar invites went out on Friday. If you did not receive one, please use this link to join the meeting. All recordings from these weekly calls will be posted on both our main OHDSI Teams tenant and on our OHDSI.org Community Calls page.