April 7, 2026
During the April 7 OHDSI community call, Gowtham Rao (CEO/Founder, CoReason.AI) led a live demonstration in ATLAS focused on the systematic development of phenotype algorithms for acute myocardial infarction. The session explores how a “black box” AI system, using a neuro-symbolic framework and large language models, can reliably and reproducibly build cohort definitions by imitating human clinical intent. Rao illustrates this process by applying six clinical dimensions—such as diagnosis, symptoms, and therapeutic interventions—to balance sensitivity and specificity through various inclusion and entry event criteria.
Community Updates
• Congratulations to the team of Seokyoung Song, Hyungseok Seo, Il Seok Kim, Minsoo Kim, Lim Youn Hee, Jung Eun Kim, Soo Il Choi, Dong Hyuck Kim, Young Hun Lee, Moonki Park, Jong Bum Choi, Cheolhyeong Lee, Seung Hee Yoo, Ho Kyung Yu, Chan Noh, Seong Young Choi, Sang Gyu Kwak on the recent publication of A Multicenter Propensity Score-Matched Cohort Study of Preoperative Antiplatelet Therapy and Postoperative Outcomes in Elderly Surgical Patients in medicina.
• Congratulations to the team of Jong-Ho Kim, Youngho Seo, Seung Yong Shin, Eung Ju Kim, Kap Su Han, Hyung Joon Joo on the recent publication of Temporal Trends and Clinical Implications of Cardiac Troponin Testing in Emergency Departments: A Multicenter Retrospective Study in the Journal of Clinical Medicine.
• Congratulations to the team of Mike Du, Albert Prats-Uribe, Núria Mercadé-Besora, Kim Lopez-Guell, Yuchen Guo, Marta Alcalde-Herraiz, Xihang Chen, Antonella Delmestri, Wai Yi Man, Talita Duarte-Salles, Anna Palomar, Agustina Giuliodori, Emanuel Brađašević, Antea Jezidžić, Elvira Bräuner, Susanne Bruun, Katia Verhamme, Mees Mosseveld, James T Brash, Dina Vojinovic, Isabella Kaczmarczyk, Akram Mendez, Peter Rijnbeek, Daniel Prieto-Alhambra, Edward Burn, and Martí Català on the recent publication of CohortCharacteristics: an R package for population characterisation in observational studies using the OMOP common data model in the European Journal of Epidemiology.
• Congratulations to the team of Ever Augusto Torres-Silva, Juan José Gaviria-Jiménez, Ana María Guevara-Zambrano, Laura Herrera-Almanza, and José Flórez-Arango on the recent publication of Synthetic data from a common data model for artificial intelligence applications in maternal health: experience report in the Colombian context in Biomedica.
• Registration and the call for participation are now open for the 2026 OHDSI Global Symposium, held Oct. 20–22 at the Hyatt Regency in New Brunswick, N.J. Check the Global Symposium section of this newsletter to learn more about our 12 new tutorial offerings.
• The latest edition of the monthly OHDSI newsletter is now available. This edition includes details on the Global Symposium registration, the vocabulary refresh and more community updates, a ‘My Journey’ video profile of Evan Minty, a collaborator spotlight focus on Ines Reinecke, March publications and more. If you don’t get the monthly newsletters in your inbox, you can subscribe here.
• Ready to turn your data harmonization vision into reality? Join The OMOP School in Stockholm, Sweden May 26-29 for a hands-on bootcamp designed to help you master the OMOP Common Data Model and execute end-to-end mini-harmonization projects. Whether you are a data scientist, researcher, or health data custodian, this intensive workshop provides the actionable tools and OHDSI methods needed to transform your institutional research capabilities.
• The second OHDSI Maternal Health Fellowship is designed to train clinical investigators for improved maternal and neonatal care. This fellowship offers three key components: Career Development, Practice, and Networking. Supported by both the OHDSI community and the NIH IMPROVE initiative, the program focuses on training clinical investigators in observational research methods to enable them to conduct reproducible research and generate real-world evidence. Learn more and register here.
• The OHDSI community has published more than 950 peer-review studies highlighting the OMOP CDM or OHDSI tools. Learn more about OHDSI research via our improved Community Dashboard. Thank you to our collaborators at Johns Hopkins for leading this initiative.
• The latest Our Journey annual report is now on the OHDSI homepage. This 134-page PDF provides an overview of the OHDSI community, including a look at its collaborators and collaborative activities, its research areas and tools, its work with standardized data and vocabularies, and nearly 900 publications that have come from the community.
• Registration is now open for the 2026 Summer School in Observational Health Data Science & Informatics, AI, and Real World Evidence, which will be held June 22-26 at the Columbia University Department of Biomedical Informatics. Now in its second-year, the Columbia OHDSI Summer School provides health professionals, researchers, and industry practitioners with an immersive, hands-on training to working with real-world health data and generating real-world evidence (RWE). Participants will explore the types of healthcare data captured during routine clinical care—such as electronic health records and administrative claims—and learn how to standardize these data using the OMOP Common Data Model to support collaborative, distributed research as part of a data network.
Upcoming Events
• The 2026 OHDSI Europe Symposium will be held April 18-20 in Rotterdam, Netherlands, and registration is open. Find all the details on the event homepage linked above.
• The first OHDSI Latin America Symposium will be held July 30-31 in Salvador, Brazil. The event will include multiple workshops, including sessions focused on Introduction to OMOP, Cohort building, ETL for OMOP, and Scientific collaboration: opportunities for network studies in Latin America.
• The UK Symposium will be held September 18 at the University of Nottingham, preceded by an OMOP Training Day on September 17. The call for abstracts has opened, and the deadline is set for May 1.
• The 2026 OHDSI Global Symposium will be held Oct. 20-22 at the Hyatt Regency Hotel in New Brunswick, N.J.
Social Showcase
• Research from the 2025 Global Symposium Collaborator Showcase is being shared daily on OHDSI’s LinkedIn, Twitter/X, Instagram and Bluesky social channels as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:
Monday — Building a perfect special-purpose healthcare data model: learning from and assessing OMOP (Vojtech Huser)
Tuesday — Mapping Survey Data to OMOP: The Current State and Available Resources (Nicole M. Gerlanc)
Wednesday — Use of CohortDiagnostics for evaluating a phenotype of acute-on-chronic hepatic failure (Alexandra Buergler)
Thursday — Advancing Learning Health Systems Through Integrated Machine Learning Operations: A Novel Extension of the OHDSI Research Infrastructure (Boudewijn Aasman)
Friday — Causal Learning with Large-Scale Propensity Scores to Predict Treatment Outcomes: A Study of Bipolar disorder in Adults with Attention-deficit/hyperactivity disorder (Junhyuk Chang)
Slides
Phenotype Aphril Week 1: Live Build of Cohorts | Community Updates
