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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Events

Below are some events where you can learn more about OMOP and related relevant topics. Read more below and sign up!

David Vizcaya Alexion logo

OMOP in Practice Seminar Series
Seminar #2: Operationalizing OMOP in Pharma Lessons Learned from Building a Scalable RWE Pipeline

Friday March 6th, 13:00-14:00 (Online)

A practical, nuts-and-bolts look at implementing OMOP in two global pharmaceutical environments. The session explores the journey from siloed use to a trusted, reusable data pipeline spanning multiple therapy areas. The presentation will cover the operating model (roles, stakeholders, sustainability), infrastructure (data governance, cohort and study libraries, and the use of standardized analysis tools), and best practices for building stakeholder trust. By the end of the session, we will highlight the impact achieved (life-cycle impact, concrete examples, and time to insight), what we would do differently, and share pragmatic recommendations for teams aiming to scale responsibly.

Presenter: David Vizcaya, Director Epidemiology Alexion Pharmaceutical Inc. & OHDSI Collaborator
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Freija Descamps Ankur Krishnan edenceHealth logo Heidelberg Institute of Global Health logo

OMOP in Practice Seminar Series
Seminar #3: Harmonizing real-world microbiology data to OMOP to fight antimicrobial resistance (AMR)

Friday March 13th, 13:00-14:00 (Online)

Experiences from the Horizon 2020 project ECRAID-Base (European Clinical Research Alliance on Infectious Diseases) • OMOP provides a standardized approach to integrate and analyze real-world healthcare data to support antimicrobial resistance (AMR) research. • The webinar illustrates how observational study data can be harmonized into OMOP, using examples from the ECRAID-Base project. • Specific challenges related to microbiology and AMR data harmonization are highlighted. • Community-driven efforts within OHDSI to standardize microbiology data are introduced. • A practical example demonstrates the value of OMOP-CDM for cross-dataset AMR analysis.

Presenters: Freija Descamps, Data Scientist & Managing Partner at edenceHealth NV, OHDSI Collaborator Belgium & Ankur Krishnan, Data & Project Manager Heidelberg Institute of Global Health
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Andreas Weinberger Rosen Center for Surgical Science logo

OMOP in Practice Seminar Series
Seminar #4: Development and clinical implementation of an AI-based prediction decision support for perioperative optimization in colorectal cancer surgery

Friday March 20th, 13:00-14:00 (Online)

How OMOP can leverage of health registries and accelerate research
This webinar presents a real-world example for a personalized medicine project, from framing a clinical question, model development, to clinical implementation and evaluating in real-world practice. The project used national health registry data harmonized to the OMOP Common Data Model and the OHDSI toolstack, including the Patient-Level Prediction framework, to develop an AI-based decision support tool. The OMOP CDM and OHDSI tools helped the clinical research unit accelerate the process of going from idea to operations. Implementation of the tool together with perioperative optimization bundles was associated with fewer postoperative complications, readmission, and reduced healthcare costs.

Presenter: Andreas Weinberger Rosen, MD, PhD fellow Center For Surgical Science, Zealand University Hospital & OHDSI Collaborator, Denmark
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Past Events

Javier Gracia-Tabuenca Finngen logo

OMOP in Practice Seminar Series
Seminar #1: Leveraging OMOP Common Data Model to Harmonize National Health Data for Genetic Research - A case from FinnGen in Finland

Friday February 6th, 13:00-14:00 (Online)

Real-world health data is valuable for genetic research, but suffers from inconsistencies in structure, coding, and completeness. Converting real-world health data into the OMOP Common Data Model ensures standardized, high-quality, and reusable phenotypes. Javier's presentation will describe how the FinnGen project uses the OHDSI OMOP Common Data Model to harmonize national health registry and hospital data for large-scale genetic research. By transforming heterogeneous real-world data into OMOP-CDM using shared, reusable mappings maintained by the FinOMOP consortium, researchers enable standardized phenotyping, improved data quality, and robust multi-center analyses. Longitudinal, multi-source integration captures diagnostic evolution, strengthens case ascertainment, and substantially increases GWAS discovery power, demonstrating how OMOP-based harmonization enhances precision medicine research at population scale.

Presenter: Javier Gracia-Tabuenca, Bioinformatician at Finnish Genomic Research Organisation (FinnGen)
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The Hyve B.V. logo

From research to regulators: effectively using SDTM & OMOP

December 8, 16:00

Join 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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Karolinska Institutet logo

How can OMOP help Sweden unlock the potential of its health data?

November 5, 09:00 - 17:15

The 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.

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The Hyve B.V. logo

From research to regulators: effectively using SDTM & OMOP

October 23, 16:00

Effective 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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Karolinska Institutet logo

HI Conversations with Raivo Kolde

October 3, 12:00 - 13:00

Raivo 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 – 17:00

In 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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