WEEKLY COMMUNITY CALL MEETING
Clinical guidelines don’t just recommend treatments—they reveal where evidence is missing. In 2025, OHDSI launched an initiative to turn those gaps into research questions, driving real-world studies across the OHDSI Evidence Network. Join us during our next community call (May 20, 11 am ET) to hear updates from study leads, explore next steps, and discover how you can collaborate.
Everybody is invited. If you do not have a calendar invite, 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 Sara Bachir, Abishaa Vengadeswaran, Holger Storf, and Dennis Kadioglu on the recent publication of Metadata-Driven Approach to Generalisation of Transformations in ETL Processes in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Elisa Henke, Michele Zoch, Yuan Peng, Mirko Gruhl, and Martin Sedlmayr on the recent publication of From Fragmentation to Integration: Challenges and Solutions for Record Linkage in OMOP CDM in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Alexandros Rekkas, Anastasia Farmaki, Achilleas Chytas, Antonios Lazaridis, Eugenia Gkaliagkousi, Pantelis Natsiavas on the recent publication of Preliminary Results of an OMOP-CDM Based Characterization Study for Rhabdomyolysis in Greece in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Adnan Jouned, Heike Düsseldorf, Florian Katsch, Maryam Jafarpour, and Georg Duftschmid on the recent publication of Comparative Study of ETL Tools for Transforming Healthcare Data to the OMOP Common Data Model (CDM) in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Achim Michel-Backofen, Romina Blasini, Jördis Beck, and Kurt Marquardt on the recent publication of Building a Research Infrastructure with REDCap and FHIR in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Prabath Jayathissa, Lukas Rohatsch, Stefan Sauermann, and Rada Hussein on the recent publication of OMOP-on-FHIR: Integrating the Clinical Data Through FHIR Bundle to OMOP CDM in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Seyedmostafa Sheikhalishahi, Johanna Schwinn, Matthaeus Morhart, Mathias Kaspar, and Ludwig Christian Hinske on the recent publication of Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Hyesil Jung, Seok Kim, and Sooyoung Yoo on the recent publication of Conversion of Nursing Statements into the OMOP Common Data Model in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, Mathias Kaspar, and Ludwig Christian Hinske on the recent publication of A Federated Learning Model for the Prediction of Blood Transfusion in Intensive Care Units in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
• Congratulations to the team of Angela Leis, Philippe Mortier, Franco Amigo, Madhav Bhargav, Susana Conde, Montserrat Ferrer, Oskar Flygare, Busenur Kizilaslan, Laura Latorre Moreno, 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 recent publication of Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project in Volume 327 of Studies in Health Technology and Informatics: Intelligent Health Systems – From Technology to Data and Knowledge.
OHDSI UPDATES
The Industry Workgroup is hosting a two-day in-person studyathon, though it may also have a virtual component, May 29-30 in the Gilead Office in Troy Hills, N.J. You can register here, and more information the event is available here.
• The agenda for the 2025 OHDSI Europe Symposium (July 5-7) is available on its main page. The main conference will be held July 7, while tutorials and workshops are set for July 5-6. Registration is open and available on the homepage.
• The ATLAS working group has put together a short survey to help identify who is using ATLAS in our community. If you are not using ATLAS, please also fill in this survey to help identify any barriers for adoption in your company/institution. Additionally, this survey will ask if you’d like to be interviewed for feedback on your usage of ATLAS. Data4Life is working closely with the working group to conduct interviews (~1hr) that will help inform the future direction of the application.
• The submission deadline for the 2025 Collaborator Showcase is July 1. The showcase will be accepting both posters and software demos, as well as interest in hosting lightning talks. You can submit your brief report(s) here.
• The Columbia Summer School on OHDSI, which will be held July 14-18 at Columbia University, 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. Registration is now open and will be capped at 30 people.
• The next seminar from the Center for Advanced Healthcare Research Informatics (CAHRI) at Tufts Medicine will be held Thursday, May 29, at 9-10 am ET. Georgie Kennedy, Senior Research Fellow at the University of New South Wales and the Ingham Institute, will provide a talk on “Learning from Real-World Cancer Data: Maturing data pipelines to support research that impacts clinical care.” Please contact Marty Alvarez at malvarez2@tuftsmedicalcenter.org for calendar invite or questions.
• The Women of OHDSI host a monthly AMA (Ask Me Anything) within their Teams environment. Mui Van Zandt will be the May focus person; please join here and ask questions about Mui’s OHDSI journey, research, work with data, and more.
Save The Dates
• The 2025 OHDSI Global Symposium will be held Oct. 7-9 at the Hyatt Regency Hotel in New Brunswick, NJ, USA. Agenda and registration information will be shared when available. The submission deadline for the 2025 Collaborator Showcase is July 1. The showcase will be accepting both posters and software demos, as well as interest in hosting lightning talks. You can submit your brief report(s) here.
• Registration is open for the Europe Symposium, which will be held July 5-7 in the “Old Prison” building of Hasselt University in Hasselt, Belgium. The agenda for all three days is available on the website.
OHDSI Social Showcase
• Research from the 2024 APAC Symposium Collaborator Showcase is being shared daily on OHDSI’s LinkedIn, Twitter/X and Instagram feeds as part of the #OHDSISocialShowcase. This week is the final week of highlighting research, but look for more posters and demos from the community coming soon. Below are posters (with study leads) that are featured this week:
Monday — Feasibility of Integrating DICOM Headers into the OMOP Medical Imaging Common Data Model (MI-CDM): A Pilot Study Using Chest CT Data (Kyulee Jeon)
Tuesday — Risk of aortic aneurysm or dissection following use of fluoroquinolones: a multinational network cohort study (Jack L Janetzki)
Wednesday — Mapping Thai Medicine Terminology to RxNorm: Lessons Learned in Standard Vocabulary Integration (Krittaphas Chaisutyakorn)
Thursday — Enabling Genomic Data Harmonization in OMOP CDM (Erwin Tantoso)
Friday — Personalised prediction of chronic kidney disease progression in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach (Trung Toan Duong)
Job Openings
• Johnson & Johnson is hiring a Manager, Observational Health Data Analytics, in its Raritan, N.J., office. This candidate will work within the Global Epidemiology Organization (GEO) and contribute to the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction, as well as to the design of observational database analysis, including authoring protocol and analysis plans, and other responsibilities. More details 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