2022 OHDSI European Symposium

The 2022 OHDSI European Symposium was held June 24-26 on the SS Rotterdam in the Netherlands. More than 350 collaborators gathered together for the community’s first in-person symposium since the COVID pandemic to connect, share research, and learn from each other. 

Among the topics during the symposium was the use of the OMOP-CDM, tool development, and future research. The first day included a collaborator showcase which featured both posters and podium presentations to highlight OHDSI’s research achievements, and interactive demonstrations of OHDSI’s open-source software tools.

The symposium also contained a “Cruise Around Europe” session in which representatives from 10 different European nations provided updates on the exciting work that is being done all over the continent, including National Nodes, large European Projects, and other initiatives.

There were also presentations given by both Erica Voss (Characterizing Adverse Events in COVID-19 infected patients across the OHDSI network) and host Peter Rijnbeek (Data Analysis and Real World Interrogation Network (DARWIN EU®)), as well as a reaction panel. The videos from Day 1 are all available below.

The rest of the weekend featured workshops and workgroup meetings.

Several leaders and participants from the symposium shared some perspectives from the event, as well as about their own respective journeys with OHDSI. You can watch those interviews here. Other videos from the final two days of the symposium will be posted when available.

The Main Conference

Session 1

INTRODUCTION
3:08 – Welcome to the European OHDSI Journey (Peter Rijnbeek, Chair, Department of Medical Informatics Erasmus MC)
13:00 – Journey of OHDSI: Where Have We Been? (George Hripcsak, Vivian Beaumont Allen Professor and Chair, Biomedical Informatics, Columbia University Medical Center) 

34:45 – A CRUISE AROUND THE OHDSI EUROPE COMMUNITY (moderated by Nigel Hughes, Janssen Research and Development)

37:00 – Estonia: Conversion of Estonian health data into the OMOP CDM (Marek Oja, Institute of Computer Science, University of Tartu)
42:59 – Finland: The Finnish OMOP data network (FinOMOP) (Javier Gracia-Tabuenca, Tampere University of Technology)
49:33 – Denmark: Transforming Danish Registries to the OMOP Common Data Model: use case on the Danish Colorectal Cancer Group (DCCG) Database (Adamantia Tsouchnika, Center for Surgical Science, Zealand University Hospital)
57:04 – Norway: Norwegian registries onto OMOP Common Data Model: mapping challenges and opportunities for pregnancy studies (Eimir Hurley, University of Oslo)
1:04:25 – Germany: OHDSI Germany: A recap after one year (Michele Zoch, Technische Universität Dresden)
1:12:43 – Italy: The Italian national node of OHDSI Europe (Lucia Sacchi, University of Pavia)
1:17:45 – Greece: An update from the Greek National Node (Pantelis Natsiavas, Centre for Research & Technology Hellas)
1:23:07 – Ukraine: Integration prospects of the Ukrainian healthcare system with OMOP CDM (Mariia Kolesnyk, SciForce)
1:29:40 – Israel: The journey from isolated EHR’s to unified CDM network (Guy Livne, Israel Ministry of Health)
1:34:30 – France: Semantic harmonization of the French National healthcare database (SNDS) (Lorien Benda, Health Data Hub)

1:40:40 – Panel discussion including all European collaborators listed above.

Session 2

COLLABORATOR SHOWCASE
1:33 – Collaborator Showcase Intro (Katia Verhamme, MD, Associate Prof Observational Data Analysis, Department of Medical Informatics, Erasmus MC, Rotterdam) 

2:48 – FeederNet (Federated E-Health Big Data for Evidence Renovation Network) platform in Korea (Chungsoo Kim, Ajou University)
8:04 – OMOP Genomic mapping capacities in conversion of comprehensive genomic profiling results (Maria Rogozhkina, Odysseus)

12:59 – OMOP Mapping of Real-World Data From Brazil & Pakistan Towards Management of COVID-19 In the Global South (Sara Khalid, University of Oxford) 
19:23 – Impact of random oversampling and random undersampling on the development and validation of prediction models using observational health data (Cynthia Yang, Erasmus MC)
24:23 – Real-world evidence is in demand: a summary of ‘live’ requests for RWE studies published by a European health technology assessment (HTA) agency (Jamie Elvidge, National Institute for Health and Care Excellence (NICE))
31:48 – Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases (Aniek Markus, Erasmus MC)
38:15 – TrajectoryViz: Interactive visualization of treatment trajectories (Maarja Pajusalu, Institute of Computer Science, University of Tartu)
44:47 – Assessing treatment effect heterogeneity using the RiskStratifiedEstimation R-package (Alexandros Rekkas, Erasmus MC)
49:45 – Defining the valid analytic space for quantitative bias analysis in pharmacoepidemiology (James Weaver, Janssen R&D)
58:03 – A pilot study to evaluate the feasibility of using Observational Health Data Sciences and Informatics analytics tools for supporting the validation of safety signals (Ceyda Pekmez Kristiansen, Novo Nordisk)
1:03:32 – Findable, standardized data at scale through the EHDEN Database Catalogue (Julia Kurps, The Hyve)

Session 3

0:52 – Characterizing Adverse Events in COVID-19 infected patients across the OHDSI network (Erica A. Voss, MPH, Janssen Research and Development, Erasmus MC) 

28:10 – Data Analysis and Real World Interrogation Network (DARWIN EU®) (Peter R. Rijnbeek, PhD, Chair, Department of Medical Informatics, Erasmus MC)

42:45 – Reaction panel with key stakeholders
Moderator
Dani Prieto-Alhambra, MD, PhD Professor of Pharmaco- and Device Epidemiology University of Oxford, Professor of

Real World Evidence and Methods Research, Erasmus MC
Panelists
Catherine Cohet, European Medicines Agency
Filip Maljković, Heliant, Serbia
Daniel Morales, Dundee University, UK
Dalia Dawoud, NICE, UK
Patrick Ryan, Janssen Research and Development, USA)

1:29:45 – Closure: Peter Rijnbeek

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