WEEKLY COMMUNITY CALL MEETING
Please join our next community call on Tuesday, March 5 (11 am ET) for a session focused on the latest vocabulary release, which was shared 29Feb2024, as well as a brief wrap-up discussion around Phenotype Phebruary 2024. The main session will be driven by leaders from our vocabulary team:
• Alexander Davydov, Director, Lead of Medical Ontologies • Odysseus Data Services
• Oleg Zhuk, Vocabulary Technical Lead • Odysseus Data Services
• Anna Ostropolets, Associate Director, Observational Health Data Analytics • Janssen Research and Development
• Christian Reich, CEO • Odysseus Data Services
Everybody is invited. Calendar invites went out last week. If you did not receive one, please use this link to join the meeting. All recordings from these weekly calls are available within our Teams environment and will be posted on both our YouTube page and our OHDSI.org Community Calls page.
WEEKLY WORKING GROUP MEETINGS
Upcoming Workgroup Calls – OHDSI
OHDSI SHOUTOUTS
Congratulations to the team of Aniek F Markus, Peter R Rijnbeek, Jan A Kors, Edward Burn, Talita Duarte-Salles, Markus Haug, Chungsoo Kim, Raivo Kolde, Youngsoo Lee, Hae-Sim Park, Rae Woong Park, Daniel Prieto-Alhambra, Carlen Reyes, Jerry A Krishnan, Guy G Brusselle, and Katia MC Verhamme on the publication of Real-world treatment trajectories of adults with newly diagnosed asthma or COPD in BMJ Open Respiratory Research.
• Congratulations to the team of Behzad Naderalvojoud, Catherine Curtin, Chen Yanover, Tal El-Hay, Byungjin Choi, Rae Woong Park, Javier Gracia Tabuenca, Mary Pat Reeve, Thomas Falconer, Keith Humphreys, Steven M Asch, and Tina Hernandez-Boussard on the publication of Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network in JAMIA.
• Congratulations to the team of Star Liu, Asieh Golozar, Nathan Buesgens, Jody-Ann McLeggon, Adam Black, and Paul Nagy on the publication of A framework for understanding an open scientific community using automated harvesting of public artifacts in JAMIA Open.
• Congratulations to the team of Yi Chai, Kenneth K. C. Man, Hao Luo, Carmen Olga Torre, Yun Kwok Wing, Joseph F. Hayes, David P. J. Osborn, Wing Chung Chang, Xiaoyu Lin, Can Yin, Esther W. Chan, Ivan C. H. Lam, Stephen Fortin, David M. Kern, Dong Yun Lee, Rae Woong Park, Jae-Won Jang, Jing Li, Sarah Seager, Wallis C. Y. Lau, and Ian C. K. Wong on the publication of Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study in Epidemiology and Psychiatric Sciences.
• Congratulations to the team of Quentin Marcou, Laure Berti-Equille, and Noël Novelli on the publication of Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy in the Journal of Biomedical Informatics.
OHDSI UPDATES
• The 2024 OHDSI Global Symposium will be held Oct. 22-24 at the Hyatt Regency Hotel in New Brunswick, NJ. The tentative symposium format will feature tutorials and collaboration on Oct. 22, plenaries and the collaborator showcase on Oct. 23, and workgroup activities on Oct. 24 a long with another hour of our esteemed showcase. Registration is due to open at the end of March for both the main symposium and the tutorials (separate links).
• Registration is now OPEN for the 2024 OHDSI Europe Symposium, which will be held June 1-3 in Rotterdam, Netherlands. There will be tutorials and workshops June 1-2 at the Erasmus University Medical Center, and the main conference will be held Monday, June 3, on the Steam Ship Rotterdam. Please visit the event homepage for more information and registration details.
• Ross Williams is a scientific researcher working in the group of Dr. Peter Rijnbeek at Erasmus MC, where he is part of the Health Data Science group. His main focus is creating tools and analysis methods to develop personalised medical risk prediction. His specific areas of interest are on the external validation of prediction models, net benefit assessment and techniques for temporal health data analysis. He co-leads both the Patient Level Prediction workgroup and the Early-Stage Researcher workgroup. Ross discusses his career journey, how observational data impacts prediction models, the opportunities for junior researchers in OHDSI, and plenty more in the latest edition of the Collaborator Spotlight.
• The latest edition of the OHDSI newsletter is now available. It includes links to all workgroup OKR presentations from last month, as well as updates from Phenotype Phebruary. It also includes the monthly video podcast, 11 February publications, a new Collaborator Spotlight, and more. If you don’t receive the monthly newsletter in your inbox, please subscribe here.
• James Weaver, an Associate Director of Observational Health Data Analytics at Janssen Research and Development, will speak during a panel session on Current Approaches for Distributed Analysis on Thursday, March 14 (1 pm ET) during a Health Data Research Network Canada event. This will be a virtual conversation; more information and a registration link are available here.
• Research from the 2023 Global Symposium Collaborator Showcase can be viewed on the Global Symposium Showcase page. Research is also being shared daily on OHDSI’s LinkedIn, Twitter/X and Instagram feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:
Monday — Implementing a common data model in ophthalmology: Comparison of general eye examination mapping to standard OMOP concepts across two major EHR systems (Justin Quon)
Tuesday — Measuring Study Potential Through the Use of Data Diagnostics (Clair Blacketer)
Wednesday — Utilizing Graph Embeddings for Multiple Sclerosis Disease Modifying Therapy Adverse Events (Jason Patterson)
Thursday — Comorbidity Co-occurrence in Women with Endometriosis: A Retrospective Matched Cohort Study (Tamar Zelovich)
Friday — Ulysses: Introducing a workflow R package for assisting in the development of OHDSI studies (Martin Lavallee)
Job Openings
• Alex Asiimwe shared three openings at Gilead that could be of interest to OHDSI collaborators. There are openings for a Director, RWE – Data Science, a Director, Data Acquisition, and a Senior Director, Head of Data Office. You can learn more about each position and apply using the links above.
• Linying Zhang shared openings for both a Postdoc and a Senior Data Analyst at the Washington University School of Medicine in St. Louis. Successful candidates will work on causal machine learning and responsible AI for reliable real-world evidence generation. Interested applicants should send a CV and cover letter to linyingz@wustl.edu.
• Nathan Hall introduced a summer internship at Johnson & Johnson for an Epidemiology UX/Web Design Intern. This internship provides a unique opportunity to merge design principles with epidemiological research, contributing to the advancement of real-world evidence applications. In this role, you will have the opportunity to blend your passion for user experience (UX) and web design with the field of epidemiology, contributing to impactful projects that enhance our ability to derive insights from health data. More information and an application link are available here.
• There is an opening for an Epidemiology Graduate Intern at Johnson & Johnson. Among the responsibilities for this remote position are assisting in managing epidemiologic studies and literature reviews to characterize incidence, prevalence, risk factors, and associated comorbidities and treatment patterns for lung, head, and neck cancers across interventional oncology, contributing to the development of protocols for analyzing real-world data cohorts, such as SEER Medicare, and conducting quantitative analyses using both public and private data sources. More information and an application link are available here.
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Please continue to collaborate in our MS Teams environment, check out the OHDSI website and forums , and follow us on all platforms, including Twitter and LinkedIn to get continued updates and information on everything happening in our community