OHDSI Symposium 'The Journey from Data to Evidence' 2019 March 29th
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The second European OHDSI Symposium called "The Journey from Data to Evidence" aimed to explain how OHDSI's methods and tools can be used to obtain reliable evidence. The focus this year was on live demonstrations of the use of these tools to answer clinical questions |
The main symposium took place on Friday March 29th 2019 at the educational center of the Erasmus Medical Center in Rotterdam, The Netherlands. Saturday March 30th, and Sunday March 31st was dedicated to tutorials. The symposium had more than 250 participants, 35 posters, and 8 software demos.
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Video Recordings will be available soon. |
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Slides |
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Welcome to the European OHDSI Journey Peter Rijnbeek, PhD, Associate Professor, Department of Medical Informatics, Erasmus MC, Rotterdam |
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The Observational Health Data Sciences and Informatics (OHDSI) initiative George Hripcsak MD, MS, Professor, Chair of the Department of Biomedical Informatics at Columbia University Medical Center |
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The European Health Data and Evidence Network (EHDEN) project Peter Rijnbeek, PhD, Associate Professor, Department of Medical Informatics Erasmus MC Rotterdam |
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What evidence do we want to generate? Patrick Ryan, PhD, Sr. Director and Head, Epidemiology Analytics, Janssen Research & Development,Adjunct Assistant Professor o Biomedical Informatics, Columbia University Daniel Prieto Alhambra, Prof. of Pharmaco- and Device Epidemiology, University of Oxford, UK Niklas Norén, Chief Science Officer, Uppsala Monitoring Centre, Sweden |
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OHDSI Standardized Analytics for Evidence Generation Anthony Sena, Associate Director, Epidemiology Analytics, Janssen Research & Development, US Jenna Reps, PhD, Manager, Epidemiology Analytics, Janssen Research & Development, US Martijn Schuemie, PhD, Director, Epidemiology Analytics, Janssen Research & Development, US, Visiting researcher, Biostatistics, UCLA,US |
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Adopting the OMOP Common Data Model to enable standardized analytics Christian Reich, Vice President of Real-World Insights, IQVIA, US Erica Voss, Director, Epidemiology Analytics, Janssen Research & Development, US Mui van Zandt, Director of Product Development, IQVIA, US |
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Lightning Talks of selected abstracts Moderator: Kristin Kostka, MPH, IQVIA
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Data to Evidence: OHDSI in action! Patrick Ryan, PhD, Sr. Director and Head, Epidemiology Analytics, Janssen Research & Development, Adjunct Assistant Professor of Biomedical Informatics, Columbia University, US Rebecca Chandler, Medical Doctor, Uppsala Monitoring Centre, Sweden |
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Closing Remarks Peter Rijnbeek, PhD, Associate Professor, Department of Medical Informatics Erasmus MC Rotterdam, The Netherlands |
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Tutorials |
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OMOP-CDM and Standardized Vocabularies Tutorial When: March 30th. 9:00-17:00 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 |
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Population-Level Effect Estimation When: March 30th. 9:00-17:00 This workshop is for researchers who want to design estimation studies for safety surveillance and comparative effectiveness using the OHDSI tools and programmers who want to implement and execute estimation studies using the OHDSI methods library. Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills. Faculty: Martijn Schuemie, Patrick Ryan |
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Patient-Level Prediction When: March 31th. 9:00-17:00 This workshop is for researchers who want to design prediction studies for precision medicine and disease interception using the OHDSI tools and programmers who want to implement and execute prediction studies using the OHDSI methods library. Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills. Faculty: Peter Rijnbeek, Jenna Reps, Ross Williams |
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OMOP Common Data Model Extract, Transform & Load When: March 31th. 9:00-17:00 Faculty: Erica Voss, Clair Blacketer Learn about best practices and OHDSI tools developed to help with designing an extract, transform, & load process to take your database from raw observational data to the OMOP Common Data Model. Pre-requisite course would be the OMOP CDM & Vocabulary Tutorial or working experience with the OMOP CDM and OMOP Vocabulary. Target Audience: Data holders, researchers, and regulators who want to learn more about the Extraction, Transformation, and Load process. |
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Cohort Building in OMOP CDM: Hands-on Experience When: March 31th. 9:00-17:00 Faculty: Christian Reich, Patrick Ryan This tutorial is intended for those that want to have some time to experience the OHDSI tools. Target Audience: Data holders, researchers, and regulators who want to learn more about the OHDSI Tools |
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Posters
Pdfs can be viewed by clicking on the poster title
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Clinical Application |
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The future of Personalized Surgery in Denmark: using OMOP and the OHDSI community tools to predict 90-days mortality after colorectal cancer surgery | Rosen A, Derian N, Grafkin P, Allakhverdiiev E, Klebanov G, Drakos I, Gögenur I |
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Interpretable ML software to support discharge decisions at the ICU |
de Bruin, DP, Tonutti, M, Hovenkamp H, Thoral, P |
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Ontology-based representation and analysis of kidney adverse events following vaccinations | Yonghun He, Khadeejah Kahn, Anastasios Siapos, Sarah Seager, Mui Van Zandt |
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Emulating a randomised trial of unicompartmental and total knee replacement using real world evidence | Edward Burn, James Weaver, Daniel Morales, Albert Prats-Uribe, Antonella Delmestri, Victoria Y Strauss, Ying HE, Danielle E Robinson, Rafael Pinedo-Villanueva, Spyros Kolovos, Talita Duarte-Salles, William Sproviero, Dahai Yu, Michel Van Speybroeck, Ross Williams, Luis H. John, Nigel Hughes, Anthony G. Sena, Ruth Costello, Belay Birlie, David Culliford, Caroline O'Leary, Henry Morgan, Theresa Burkard, Daniel Prieto-Alhambra, Patrick Ryan |
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Empirical assessment of OHDSI case-based methods and case-population for the identification of drug–related outcome in the French nationwide healthcare database (SNDS) | Nicolas Thurin, Régis Lassalle, Patrick Blin, Marine Pénichon, Martijn Schuemie, Joshua J Gagne, Jeremy A. Rassen, Jacques Benichou, Alain Weill, Cécile Droz-Perroteau, Nicholas Moore |
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Development of Mechanical Ventilator Weaning Algorithm based on Common Data Model: Pilot Study | Sujeong, Hur, Junsang, Yoo, Won Chul, Cha |
| 7 | Development and Validation of a Prognostic Model Predicting Hemorrhagic Transformation in Acute Ischemic Stroke | Qiong Wang, Yuhui Zou, Jenna M. Reps, Henry Morgan Stewart, Kristin Feeney Kostka, Peter R. Rijnbeek, Erica A. Voss, Andrew Williams, Ross Williams, Mui Van Zandt, Ray Chen, Gowtham Rao, Thomas Falconer, Jami N. Jackson Mulgrave, Suranga N. Kasthurirathne, Margarita Fernandez-Chas, Rohit Vashisht, Seng Chan You, Stephen R. Pfohl, Patrick B. Ryan, Christian Reich |
| 8 | Development and Validation of Patient-Level Prediction Models for Adverse Outcomes Following Total Kness Arthroplasty | Ross D. Williams, Jenna M. Reps, Peter R. Rijnbeek, Dani Prieto Alhambra, Patrick B. Ryan |
| 9 | Dementia Prediction Using Routinely Collected Health Data | Luis H. John, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek |
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Methods research |
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Proposal of ARGOS: A Rigorous Global Observation System for burden of diseases | Chulhyoung Park, Seng Chan You, Seongwon Lee, Rae Woong Park |
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Development of a R-package to Explore Heterogeneity of Treatment Effects: A Demonstration in Patients with Hypertension | Alexandros Rekkas, David Van Klaveren, Peter R. Rijnbeek |
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Assessing Strategies for Negative Control Selection | Erica A. Voss, Martijn J. Schuemie, Johan van der Lei, Peter R. Rijnbeek |
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