OMOP in Practice Seminar Series

Seminar #4: Development and clinical implementation of AI-based prediction support for perioperative optimization in colorectal surgery

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

A real-world precision medicine case from clinical question and model development to implementation and evaluation in practice, using OMOP CDM and OHDSI tools.

Presenter: Andreas Weinberger Rosen, MD, PhD fellow, Center for Surgical Science, Zealand University Hospital and OHDSI collaborator, Denmark

OMOP in Practice Seminar Series

Seminar #3: Harmonizing microbiology real world data to OMOP for antimicrobial resistance (AMR)

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

Experiences from the Horizon 2020 project ECRAID-Base. The webinar shows how observational study data can be harmonized into OMOP and highlights microbiology and AMR-specific challenges as well as ongoing OHDSI standardization work.

Presenters: Freija Descamps (edenceHealth NV, Belgium) and Ankur Krishnan (Heidelberg Institute of Global Health)

OMOP in Practice Seminar Series

Seminar #2: Operationalizing OMOP in pharma - lessons learned from 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, infrastructure, and best practices for building stakeholder trust.

Presenter: David Vizcaya, Director Epidemiology, Alexion Pharmaceutical Inc. and OHDSI collaborator

OMOP in Practice Seminar Series

Seminar #1: Leveraging OMOP Common Data Model to harmonize national health data for genetic research - a FinnGen case

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

How FinnGen uses OMOP CDM to harmonize national health registry and hospital data for large-scale genetic research and precision medicine.

Presenter: Javier Gracia-Tabuenca, Bioinformatician at Finnish Genomic Research Organisation (FinnGen)

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.

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.

From healthcare to research: effectively using RWD with FHIR & 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).

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".

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).