Weekly OHDSI Digest – March 18, 2024


There is no community call this week. Please join us Tuesday, March 26 for a session on recent publications that have come out of the OHDSI community.


Upcoming Workgroup Calls – OHDSI


Congratulations to the team of Markus Haug, Marek Oja, Maarja Pajusalu, Kerli Mooses, Sulev Reisberg, Jaak Vilo, Antonio Fernández Giménez, Thomas Falconer, Ana Danilović, Filip Maljkovic, Dalia Dawoud, and Raivo Kolde on the publication of Markov modeling for cost-effectiveness using federated health data network in JAMIA.


The 2024 Global OHDSI 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 activities on Oct. 22, plenaries and the collaborator showcase on Oct. 23, and workgroup activities on Oct. 24 along with the showcase Registration has not opened yet.

• 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.

• Atif Adam announced an opportunity for collaboration around a new network study focusing on Acute ST-Elevation Myocardial Infarction (STEMI). The study intends to deepen the understanding of STEMI patients’ characteristics and identify incidence rates across multiple real-world data datasets. More details and information on how to get involved are available within the forum post.

• 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 LinkedInTwitter/X and Instagram feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:

Monday — Assessing data quality at DARWIN EU® data partner onboarding (Sofia Bazakou)

Tuesday — Application of language model for extracting data from pathology reports (Gyubeom Hwang)

Wednesday — Assessing the Feasibility of a Machine Learning-Based Computational Phenotype for Identifying Transgender and Gender Diverse Patients in the OMOP Common Data Model (William A. Baumgartner Jr)

Thursday — Creation of a set of clinical Patient-Level Prediction benchmark tasks (Ross Williams)

Friday — Patient-centered Economic Burden of Non-proliferative Diabetic Retinopathy with Diabetic Macular Edema (Kyungseon Choi)

Job Openings

• Alex Asiimwe shared an opening for a Director, RWE – Data Science at Gilead. As a RWE Data Scientist (OMOP/OHDSI), you will play a crucial role in designing, implementing, and maintaining healthcare data solutions using the OHDSI framework. This position offers an exciting opportunity to contribute to advancements in health informatics and research.

• 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.


Accessing MSTeams: To join OHDSI Teams, please fill out this form: Join OHDSI Teams
If you are already in the OHDSI Teams environment and you would like to join work groups in teams, please fill out this form: Join Workgroups, Chapters, and Studies

Duplicate email removal from OHDSI Teams: As you should always be using one email in OHDSI Teams when joining all workgroups, you may remove duplicate emails by filling out this form

To unsubscribe from Teams, please fill out this form

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