WEEKLY COMMUNITY CALL MEETINGS
Generative AI and Large Language Models (LLMs) have the potential to massively accelerate our research mission, and we are seeing incredible breakthroughs across our global community. Please join us June 9 (11 am ET) for the second of a special three-part community call series dedicated to LLM research in OHDSI. The agenda for the first community call includes:
- FastOMOP – multi agent cohort creation (Niko Moeller-Grell, King’s College)
- Phenelope – tool for developing concept sets using LLM (Joel Swerdel, Johnson & Johnson)
- LLM-Based Phenotype Refinement via CAPR (Jared Houghtaling, Johnson & Johnson)
- Using Synthetic Data and Claude Code to Develop Transportable Analytic Code (Adam Johnson, Duke University)
Everybody is invited. If you didn’t receive a call invite, please use this link to join. The call schedule and previous recordings can be found on the community calls page.
WEEKLY WORKING GROUP MEETINGS
Upcoming Workgroup Calls – OHDSI
OHDSI SHOUTOUTS
Congratulations to the team of Hyejin Hong, Soyeon Kim, and Borim Ryu on the recent publication of Enhancing multimodal inpatient fall prediction via nursing statement integration within the OMOP common data model in Scientific Reports.
• Congratulations to the team of Cindy X Cai, Brian Toy, Benjamin Martin, Ruochong Fan, Erik Westlund, Diep Tran, Akihiko Nishimura, Haeun Lee, Theodore Leng, Paul Nagy, Nestoras Mathioudakis, Linying Zhang, Michelle Hribar, Aiyin Chen, Karen Armbrust, Kerry Goetz, Sally Baxter, Michael V Boland, Eric N Brown, Edmund Tsui, Andrew J Barkmeier, Sophia Wang, Nitish Mehta, Jacqueline C Stocking, Ghazala O’Keefe, Cecilia S Lee, Philip R O Payne, William J O’Brien, Scott DuVall, Thamir Alshammari, Thomas Falconer, David A Dorr, Izabelle Humes, David McCoy, Mohammed Adibuzzaman, Rumel Mahmood, Hannah Morgan-Cooper, Priya Desai, Shikha Yashwant Kothari, Anthony Sena, Clair Blacketer, Anna Ostropolets, Azza Shoaibi, Gowtham Rao, George Hripcsak, Patrick Ryan, and Marc A Suchard on the recent publication of Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study in Ophthalmology.
OHDSI UPDATES
Thank you to everybody who submitted brief reports to take part in the 2026 Global Symposium. It was another record-breaking year, as we received more than 170 submissions. Early thanks also go to the members of our Scientific Review Committee, who will read of the submissions over the next month.
• The latest edition of The Journey newsletter is now available. It includes a look at the LLM research presentations coming this month, OHDSI’s work with the Uppsala Monitoring Center (UMC) to help integrate Sweden’s national registry data into the OMOP Common Data Model, upcoming community events, spotlights on Anthony Sena and Benjamin Martin, nearly 30 May publications and more. If you don’t receive the newsletter in your inbox, you can subscribe here.
• The FALCON (Federated Alliance for Large-scale Cancer Observational Network) Research Network is dedicated to advancing real-world oncology evidence through federated health analyses. The network is hosting its 2026 Symposium and Bladder Cancer Studyathon from Sep. 28-Oct. 1 at Dunden in Antwerp, Belgium. This intensive four-day event kicks off with a general symposium followed by a three-day collaborative working session for researchers, clinicians, and data scientists to generate high-quality clinical evidence on the OMOP CDM.
• Take your OMOP CDM from implementation to impact with The OMOP Practitioner, an intensive three-day expert training hosted Sept. 7-9 by Erasmus MC in Rotterdam. This hands-on program moves beyond the basics, offering a maximum of 30 participants deep-dive experience with the Data Quality Dashboard, ATLAS, and real-world study execution.
OHDSI 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 — From Tool Zoo to FAIRified Pipeline: Evaluating Terminology and Mapping Tooling for the SHINe Platform (Karen Triep)
Tuesday — Mitos: A Python implementation of OHDSI Circe cohort expressions with schema fidelity and cross-engine validation (Egill Fridgeirsson)
Wednesday — Extending OMCP to the OHDSI Application Layer: MCP Servers for Vocabulary, Cohort Definition, and Statistical Profiling (Niko Möller-Grell)
Thursday — From OHDSI Cohorts to Trustworthy, Reproducible and Reusable Dashboards for your Enterprise (Lisa Murch)
Friday — Using coding agents and a skill-based context engineering approach to map EMA authorized drugs to RxNorm (Rowan Parry)
UPCOMING OHDSI EVENTS
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.
• 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. You can also read more about our 12 new tutorial offerings which will take place during Day 1 of the event. The deadline to submit your brief reports for the Collaborator Showcase is June 5 at 8 pm ET.
Book Your Hyatt Regency Guestroom Here–
The third annual OHDSI India Symposium has been scheduled for December 11th in Chennai. More details and registration information will be shared with the community as they become available.
OHDSI MSTEAMS
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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
