The First OHDSI Sweden Synopsium!
On November 5th, we proudly hosted the 1st OHDSI Sweden Symposium, and what an event it was! With 31 international and national speakers and panelists and over 150 participants, we explored the opportunities that the OMOP Common Data Model and the open-science assets of the global OHDSI network offer to transform Real-World Data (RWD) into Real-World Evidence (RWE), all for a higher purpose. 👉 The key takeaway! Sweden needs to increase its awareness and adoption of the OMOP Common Data Model to harmonize our valuable health data assets enabling secure and effective reuse of health data.
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Below are some events where you can learn more about OMOP and related relevant topics. Read more below and sign up!
From research to regulators: effectively using SDTM & OMOP
December 8, 16:00Join us for the final session in our OMOP webinar series. In this webinar, we will explore the role of real-world data (RWD) in regulatory processes, focusing on the OMOP Common Data Model (CDM) and its comparison with the clinical trial data standard SDTM. The session will highlight practical applications from European flagship projects and cover critical regulatory considerations, including data lineage, provenance, and validation requirements.
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How can OMOP help Sweden unlock the potential of its health data?
November 5, 09:00 - 17:15The OHDSI Sweden Symposium 2025 will bring together leaders, researchers, and innovators across healthcare, life science, policy and patient organizations to explore how the international data model OMOP and assets from the open-science community OHDSI can unlock the value of Sweden’s health data. Participants will see examples how OMOP and OHDSI connect to national and European strategies, and how it enables data-driven and patient-centered healthcare, research, and innovation.
Read more & Sign up From research to regulators: effectively using SDTM & OMOP
October 23, 16:00Effective health research requires a robust pipeline from data exchange to data analysis. This webinar examines the crucial step between OMOP (Observational Medical Outcomes Partnership) Common Data Model and FHIR (Fast Healthcare Interoperability Resources).
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October 3, 12:00 - 13:00Raivo Kolde presents research about "OMOP ETL process" related to the publication: "Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned".
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OMOP as a standard for analytics, generating real-world evidence, and federated machine learning
September 2, 16:00 – 17:00In the rapidly evolving landscape of healthcare data analytics, the OMOP Common Data Model (CDM) has emerged as a game-changer, revolutionizing the way real-world evidence (RWE) is generated and utilized. The presentation will draw from the OMOP experience from Helsinki University Hospital (HUS) and outline key steps, required competencies, and infrastructure needed for implementation, as well as information on how to join and leverage the international OHDSI network in the process. The presentation will show how HUS has successfully navigated the process from data sources, through ETL (Extract, Transform, Load) to OMOP data, quality control, to the first federated real-world study, and further into swarm-learning for predictive modelling in precision medicine. Use cases covered will include participation in DARWIN, an international OMOP study on immune checkpoint inhibitor uptake in metastatic non-small cell lung cancer (iCAN mNSCLC study-a-thon), and a swarm learning study across the Finnish university hospitals to cooperatively build a predictive model in acute myeloid leukaemia (AML).
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