Sept. 26, 2023
The Sept. 26 OHDSI Community Call featured five recent published studies that featured OHDSI tools/practices or the OMOP Common Data Model. We were thankful to the respective lead authors for sharing their work:
• Sylvia Kiwuwa-Muyingo, Biostatistician, African Population and Health Research Center • Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model (Frontiers in Public Health)
• Jill Hardin, Director, Observational Health and Data Analytics, Janssen Research and Development • Characteristics and treatment pathways in pediatric and adult hidradenitis suppurativa: An examination using real world data (JAAD International)
• Tiffany Callahan, Postdoctoral Researcher, IBM • Ontologizing health systems data at scale: making translational discovery a reality (NPJ Digital Medicine)
• Craig Mayer, Interdisciplinary Data Scientist, National Library of Medicine • Learning important common data elements from shared study data: The All of Us program analysis (PLoS One)
• Qiong Wu, Research Associate of Biostatistics and Epidemiology, University of Pennsylvania • Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes (Journal of Biomedical Informatics)
• Congratulations to the 93 individuals/teams who were nominated for a 2023 Titan Award (see graphic). Each year, Titan Awards are presented to members of the community who have made valuable contributions to OHDSI’s mission, vision and values. The recipients of the seven Titan Awards will be announced during the closing talk on Friday, Oct. 20 at the Global Symposium.
• Congratulations to Columbia DBMI Chair Noémie Elhadad on being selected to receive the 2023 Donald A.B. Lindberg Award for Innovation in Informatics. This award will be presented at the AMIA 2023 Annual Symposium, Nov. 11-15, in New Orleans.
• Congratulations to University of Pennsylvania Professor of Biostatistics Yong Chen on being named one of the 23 new Fellows who will be inducted into the American College of Medical Informatics during the AMIA 2023 Annual Symposium, Nov. 11-15, in New Orleans.
• Congratulations to Columbia DBMI graduate and current Odysseus Director, Head of Innovation Lab, Anna Ostropolets on earning Honorable Mention in the AMIA 2023 Edward H. Shortliffe Doctoral Dissertation Award competition: Generating Reliable and Responsive Observational Evidence: Reducing Pre-analysis Bias.
• Congratulations to Dr. Ross Williams on successfully defending his dissertation (A model, not a prophet: operationalising patient-level prediction using observational data networks) at Erasmus MC today.
• Research from the 2023 Europe Symposium Collaborator Showcase in Rotterdam can be viewed on the Europe Symposium Showcase homepage. Research is also being shared daily on OHDSI’s LinkedIn and Twitter feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:
Monday – Standardizing European sarcoma registry data to the OMOP Common Data Model (Maaike van Swieten)
Tuesday – Quality Management System of the OHDSI Standardized Vocabularies (Vlad Korsik)
Wednesday – A reusable method to assess the quality of the ETL process (Vittoria Ramella)
Thursday – The use of WHO ‘Watch List’ Antibiotics in Europe: a DARWIN-EU® network population-based network cohort study (Johnmary T. Arinze)
Friday – Developing a phenotype algorithm to identify natural menopausal women in secondary data: A multi-country, large-scale OHDSI network study (Siir Su Saydam)
• The agenda for the 2023 Global Symposium main conference is now available and it highlights the most diverse agenda in our event history. It lists the full schedule for all three days, descriptions on the various weekend activities, and all 137 posters and 24 software demos that will be presented during the collaborator showcase.
• The new Community Dashboard is now available on OHDSI.org. The dashboard includes tracking sites for publications, YouTube videos, EHDEN Academy courses, network studies, the phenotype explorer, and opportunities.
HADES Development Announcements
• Jamie Gilbert announced the release of CohortDiagnostics version 3.2.4. This is a hotfix to
support newer versions of OhdsiShinyModules which have a minor API change.
• Martijn Schuemie announced the release of SqlRender 1.16.0. This includes various minor bugfixes and updates.
2023 OHDSI Global Symposium
The 2023 OHDSI Global Symposium will be held Oct. 20-22 at the NEW location of the Hilton East Brunswick Hotel & Executive Meeting Center in East Brunswick, N.J. Below are all the critical links you will need for the weekend.
• Ajit Londhe recently posted that Boehringer Ingelheim is hiring for two positions: (1) Director, Real World Data & Analytics – Data Domain Owner (this position will lead acquisition strategy for real-world data sources for possible in-license/ purchase and additional analytical tools for in-house analytic needs across the organization … responsible for oversight of operational governance tasks & real-world data life cycle governance … US-based, remote location); and (2) Real World Evidence Data Engineer (IT position supporting RWE teams’ technology needs, including OHDSI stack support … based in Spain only).
• Yuan Lu, Assistant Professor at Yale University, announced an opening for a Postdoctoral Associate/Data Analyst at the Yale University School of Medicine. This person will work on the LEGEND Hypertension Project. More information, including job description, key responsibilities and qualifications, are available here. If interested, please reach out to Dr. Lu at firstname.lastname@example.org.
Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model (Frontiers in Public Health)
Characteristics and treatment pathways in pediatric and adult hidradenitis suppurativa: An examination using real world data (Jill Harden)
Ontologizing health systems data at scale: making translational discovery a reality (Tiffany Callahan)
Learning important common data elements from shared study data: The All of Us program analysis (Craig Mayer)
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes (Qiong Wu)