OHDSI Symposium​ 'Bridging Europe' 2018 March 23th

The first European OHDSI Symposium called "Bridging Europe" aimed to establish a European OHDSI community.

The main symposium took place on Friday March 23th 2018 at the educational center of the Erasmus Medical Center in Rotterdam, The Netherlands

The symposium had more than 200 participants, 40 posters, and 5 software demos.

Saturday March 24th 2018 was dedicated to tutorials. 

Video Recordings are available soon!

Slides

Video 

Description

Photo

   

Welcome to the European journey: OHDSI 2018

  • Speaker: Peter Rijnbeek, PhD, Assistant Professor, Department of Medical Informatics Erasmus MC Rotterdam
  • Speaker: Hans van Leeuwen, Professor, Dean of the Faculty of Medicine and Health Sciences Erasmus MC Rotterdam

 

The Journey of OHDSI: Where have we been?

  • Speaker: George Hripcsak MD, MS, Professor, Chair of the Department of Biomedical Informatics at Columbia University Medical Center

   

The European OHDSI Initiative: Why are we here?

  • Speaker: Peter Rijnbeek, PhD,  Assistant Professor, Department of Medical Informatics Erasmus MC Rotterdam

 

   

The Journey of OHDSI: Where can we go together?

  • Speaker: Patrick Ryan, PhD, Sr. Director and Head, Epidemiology Analytics, Janssen Research & Development; Adjunct Assistant Professor of Biomedical Informatics, Columbia University
 
   

Adoption of the OMOP-CDM:

 

The European Health Data and Evidence Network (EHDEN)

  • Speaker: Nigel Hughes, Scientific Director, JCI Patient Data for Research, Janssen, Belgium

The German Data Network 

  • Speaker: Martin Sedlmayr, Professor, Institute for Medical Informatics and Biometry, TU Dresden, Germany

Device Safety Data Network 

  • Speaker: Daniel Prieto, Associate Professor & NIHR Clinician Scientist, Oxford University, UK

Data vendor perspective of adopting the OMOP-CDM 

  • Speaker: Ben Hughes, Senior Vice President Real-World & Analytics Solutions, IQVIA

Industry perspective of using the OMOP-CDM 

  • Speaker: Erica Voss Associate Director, Epidemiology Analytics, Janssen Research & Development, U.S.

A Mental Health Data Platform 

  • Speaker: Simon Lovestone, Professor of Translational Neuroscience, Oxford University, UK
 
    A success story: the adoption of the OMOP-CDM in South Korea

Speaker: Rae Woong Park MD, PhD, Professor, Ajou University School of Medicine, South Korea

 
   

Expert Panel: Adoption of the OMOP-CDM in Europe opportunities and challenges.

Moderator: Patrick Ryan   

  • Johan van der Lei, Erasmus MC 
  • Kees van Bochove, The Hyve 
  • Christian Reich, IQVIA 
  • Jim Slattery, EMA
  • Montse Soriano Gabarró, Bayer AG
  • Michel van Speybroeck, Janssen Research & Development
 
   

Closing Remarks

Speaker: Peter Rijnbeek, PhD,  Assistant Professor, Department of Medical Informatics Erasmus MC Rotterdam, The Netherlands

 
  

Tutorials

 

OMOP-CDM and Standardized Vocabularies Tutorial

Faculty: Christian Reich, Erica Voss, Mui van Zandt

This tutorial will discuss all the details on the structure of the OMOP-CDM and the Standardized Vocabularies that are used to harmonize terminology. An important part of this tutorial is on how to transform your own dataset to the OMOP-CDM.

Target Audience:Data holders who want to apply OHDSI’s data standards to their own observational datasets and researchers who want to be aware of OHDSI’s data standards so they can leverage data in OMOP CDM format for their own research purposes. 

 
OHDSI Tool Ecosystem

Faculty: Patrick Ryan, Peter Rijnbeek, Jenna Reps, Martijn Schuemie

This tutorial will in detail discuss the tool ecosystem of OHDSI with a focus on the impressive functionality in ATLAS, such as vocabulary browsing, cohort definitions, risk effect estimations, patient-level prediction, and more.

Target Audience:Data holders, researchers, and regulators who want to learn more about the exciting tools developed by the OHDSI community.

 

  

 

Posters 

Pdfs can be viewed by clicking on the poster title

Clinical Application

1

Prediction and external validation of Heart Failure in patients with Type 2 Diabetes Mellitus

Ross D. Williams, Jenna Reps, Peter R. Rijnbeek

2

Identification of risk factors for anti-osteoporosis drug use: an autoencoder model for feature detection

Sara Khalid, Daniel Prieto-Alhambra

3

Development of Clinically Informing application based on Recurrent Neural Network (CIReNN)

Seng Chan You, Sanghyung Jin, Peter R. Rijnbeek, Rae Woong Park

4

Comparison of combination treatment in hypertension

Seng Chan You, Sungjae Jung, Joel N. Swerdel, Martijn J. Schuemie, Patrick B. Ryan, Sungha Park, Rae Woong Park

5

Risk of acute kidney injury between conventional NSAIDs and selective COX-2 inhibitors

Song Heui OH, Ji In Park, Seng Chan You, Rae Woong Park

6

Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis: an observational cohort study across nine databases

Yeesuk Kim, Yuxi Tian, Jianxiao Yang, Vojtech Huser, Peng Jin, Christophe G. Lambert, Hojun Park, Rae Woong Park, Peter R. Rijnbeek, Mui Van Zandt, Rohit Vashisht, Yonghui Wu, Seng Chan You, Jon Duke, George Hripcsak, David Madigan, Christian Reich, Nigam H. Shah, Patrick B. Ryan, Martijn J. Schuemie, Marc A. Suchard

 

 Observational Data Management

7

Predictive Modeling as an OHDSI Network Study: Treatment Non -Response in NSCLC patients treated with ALK Inhibitors

Aaron Galaznik, Greg Klebanov, Eldar Allakhverdiiev, Yuri Khoma, Christian Reich

8

Comprehensive Procedure Hierarchy

Anna Ostropolets, Dmitry Dymshyts, Christian Reich, Vojtech Huser

9

MIMIC3 into OMOP CDM: 48h Hackathon Evaluation

Nicolas Paris, Adrien Parrot

10

Gateway to richer and more rapid observational research.

Christian Reich, Ben Hughes, Rob Kotchie, Jon Morris, Mui van Zandt, Nelly Connolly

11

Improvement of Cancer Diagnosis Representation in OMOP CDM

Dmitry Dymshyts, Anna Ostropolets, Christian Reich MD, Rimma Belenkaya, Michael Gurley

12

Always ♥ Your Data: An Approach to Observational Data Lifecycle, Management in the OHDSI Ecosystem

Erica A. Voss, Patrick B. Ryan, Clair Blacketer, Ajit Londhe, Martijn J. Schuemie

13

Machine translation of OHDSI standard vocabulary terms

Erik M. van Mulligen, Peter R. Rijnbeek, Jan A. Kors

14

Mapping “Parc de Salut Mar” Hospitals Information System into OMOP Datamodel

Juan-Manuel RamÍrez-Anguita, Miguel-Angel Mayer, Laura I. Furlong and Ferran Sanz

15

Big Data for Medical Devices: European multi-national research leveraging routinely collected (medical records, registries) health data

Klara Berencsi, Sara Khalid, Daniel Prieto-Alhambra

16

Conversion of the Information System for Research in Primary Care (SIDIAP) data base in Catalonia to the OMOP Common Data Model

Leonardo Mendez-Boo, Eduardo Hermosilla, Peter Rijnbeek, Maria del Mar Garcia-Gil, Daniel Prieto-Alhambra, Talita Duarte-Salles

17

Medical Informatics for Research and Care in University Medicine (MIRACUM)

Martin Sedlmayr, Christian Maier, Thomas Ganslandt, Hans-Ulrich Prokosch

18

Mapping Danish drug concepts via ATC to the RxNorm vocabulary

Maxim Moinat, Lars Pedersen, Jolanda Strubel, Marinel Cavelaars, Kees van Bochove, Michel van Speybroeck, Martijn Schuemie

19

Vocabulary mapping quality assessment in two European datasets; an Achilles extension

Maxim Moinat, Stefan Payralbe, Ilona Pinter, Marinel Cavelaars, Kees van Bochove, Rients van Wijngaarden

20

Assessing the Quality of Mapping a data set to the OMOP CDM

Michel Van Speybroeck, Lars Halvorssen, Peter Rijnbeek

21

THEMIS - Personification of Divine Order & Law - Developing Governance for the Common Data Model

Mui van Zandt, Erica Voss, Christian Reich

22

Mapping the 66.6M-patient French Nationwide Healthcare Database (SNDS) to the OMOP CDM v5: a feasibility study

Nicolas Thurin, Régis Lassalle, Patrick Blin, Marine Pénichon, Martijn Schuemie, Joshua J Gagne, Jeremy Rassen, Jacques Benichou, Alain Weill, Cécile Droz-Perroteau, Nicholas Moore

23

Alert generation using the case-population approach in the French Nationwide Healthcare Database (SNDS): the ALCAPONE project

Nicolas Thurin, Régis Lassalle, Patrick Blin, Marine Pénichon, Martijn Schuemie, Joshua J Gagne, Jeremy Rassen, Jacques Benichou, Alain Weill, Cécile Droz-Perroteau, Nicholas Moore

24

The European Health Data and Evidence Network (EHDEN) – liberating evidence via harmonisation of EU real world data

Nigel Hughes, Peter Rijnbeek, Michel Van Speybroeck 

25

Development of Health Care Big Data Ecosystem (Health Eco 4.0) based on OMOP-CDM in Korea

Seng Chan You, Rae Woong Park

26

OMOP Common Data Model Extension for Genomic Data

Seo Jeong Shin, Seng Chan You, Jin Roh, Clair Blacketer, Rae Woong Park

27

Data Harmonisation : Enabling a federated model for research collaboration

Simon Lovestone, Mike Denis, David Newton, Tanya  Smith

28

Candidate Concepts Recommendation Algorithm for Mapping local vocabulary to OMOP Standard Vocabulary Concepts

Su Man Nam, Doyeop Kim, Seng Chan You, Rae Woong Park

29

Mapping phenotype data of a biobank to OMOP common data model

Sulev Reisberg, Kristjan Metsalu, Harry-Anton Talvik, Jaak Vilo

 

Methods research

30

Bayesian penalized regression for OHDSI: alternative to computationally expensive cross-validations

Akihiko Nishimura, Yuxi Tian, Marc Suchard

31

Risk Stratified Analysis of Treatment Effect in Electronic Health Records

Alexandros Rekkas, Peter R. Rijnbeek, Jenna Reps, David Van Klaveren

32

Demonstration of the AEGIS: An R package for performing GIS visualization and statistical analysis in the OMOP Common Data Model

Jaehyeong Cho, Seng Chan You, Kyehwon Kim, Doyeop Kim, Rae Woong Park

33

Value of the Area Under the Receiver Operating Characteristic Curve for Validation of Prediction Models on Imbalanced Data Sets

Luis H. John, Jenna Reps, Peter R. Rijnbeek

34

Integrating OMOP-CDM Data Sources and OHDSI Analytic Services for the Investigation of Candidate Pharmacovigilance Signals

Pantelis Natsiavas, Richard D. Boyce, Erica A. Voss, Lee Evans, Anthony Sena, Vassilis Koutkias

35

Interpreting the effect of different concept sets, data domains and data provenances in cohorts from heterogeneous European data sources: examples of component strategy application from the EMIF and the ADVANCE projects

Rosa Gini, Giuseppe Roberto, Caitlin Dodd, Kaatje Bollaerts, Alessandro Pasqua, Lars Pedersen, Miguel Angel Mayer, Ron Herings, David Ansell, Sulev Reisberg, Lara Tramontan, Gino Picelli, Consuelo Huerta, Elisa Martin-Merino, Talita Duarte- Salles, Gianfranco Spiteri, Emmanouela Sdona, Paul Avillach, Peter Rijnbeek, Miriam Sturkenboom

36

Stacked ensemble classifier for predicting disease onset using temporal and non-temporal data

Xiaoyong Pan, Peter Rijnbeek

 

Tools

37

Serverless CDM Builder with AWS Lambda

Anton Ivanov, Alexey Arestenko, Gennady Anisimov, Maxim Draschinsky, Alexander Efimov

38

ARACHNE – Distributed OHDSI Research Network

Gregory Klebanov, Nikolai Puntikov, Pavel Grafkin

39

EMIF Catalogue meets OHDSI - Semi-automatic queries over distributed OMOP CDM databases

José Luís Oliveira, Luís Bastião Silva, Alina Trifan

40

Using Atlas in a federated network with remote databases

Lars Halvorsen, Sander Bylemans, Sey Vaneerdewegh, Peter Moorthamer, Michel Van Speybroeck

 

Sponsors