Weekly OHDSI Digest – March 25, 2024


Please join our March 26 (11 am ET) community call for a session focused on recent publications from the OHDSI community. OHDSI collaborators have published more than 600 studies related to the OMOP CDM and/or OHDSI tools or methods, and we are welcoming five lead authors to present their recent publications.

1) Tathagata Bhattacharjee • University of London

INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools • Frontiers in Digital Health

2) Sulev Reisberg • University of Tartu

Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned • JAMIA Open

3) Fan Bu • University of Michigan

Bayesian safety surveillance with adaptive bias correction • Statistics in Medicine

4) Jen Wooyeon Park • Johns Hopkins University

Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension • Journal of Imaging Informatics in Medicine

5) Christian Reich • Odysseus

OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization • JAMIA

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


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.

• Congratulations to the team of Philippe Mortier, Franco Amigo, Madhav Bhargav, Susana Conde, Montse Ferrer, Oskar Flygare, Busenur Kizilaslan, Laura Latorre Moreno, Angela Leis, Miguel Angel Mayer, Víctor Pérez-Sola, Ana Portillo-Van Diest, Juan Manuel Ramírez-Anguita, Ferran Sanz, Gemma Vilagut, Jordi Alonso, Lars Mehlum, Ella Arensman, Johan Bjureberg, Manuel Pastor and Ping Qin on the publication of Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project in BMC Psychiatry.


The third annual OHDSI DevCon will be held virtually on Friday, April 26, from 9 am-3 pm ET.

Join leaders from our Open-Source Community for a day to both welcome and inform both new and veteran developers within the OHDSI Community. More details on the agenda will be posted when available.

• 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 pre-conference 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 — Synthesizing Evidence for Rare Events: a Novel Zero-Inflated Bivariate Model to Integrate Studies with Double-Zero Outcomes (Lu Li)

Tuesday — Active Safety Surveillance Using Real-world Evidence (ASSURE): An application of the Strategus package (Kevin Haynes)

Wednesday — Patient’s outcomes after endoscopic retrograde cholangiopancreatography (ERCP) using reprocessed duodenoscope accessories: a descriptive study using real-world data (Jessica Mayumi Maruyama)

Thursday — Does COVID-19 Increase Racial/Ethnic Differences in Prevalence of Post-acute Sequelae of SARS-CoV-2 infection (PASC) in Children and Adolescents? an EHR-Based Cohort from the RECOVER Program (Dazheng Zhang)

Friday — Eye Care and Vision Research Workgroup: First Year Update (Michelle Hribar)

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.


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