OHDSI Symposium 'We'll meet again for one journey ahead!' 2022 June 24th
The third European OHDSI Symposium called "We'll meet again for one journey ahead!" aimed to share results and ideas about the use of the OMOP-CDM, tool development, and future research. |
The main symposium took place on Friday June 24th 2022 at the ship SS Rotterdam. Saturday June 25th, and Sunday June 26th were dedicated to workshop and workgroup meetings, held in the Education Centre of the Erasmus University Medical Center, Rotterdam. The symposium had 350 participants, 24 plenary presentations, and 80 posters. |
Video Recordings can be found on the OHDSI YouTube Channel. |
Posters
Pdfs can be viewed by clicking on the poster title
Observational data standards and management |
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1 |
Conversion of Estonian health data into the OMOP CDM: insurance claims, prescription data and electronic health records | Marek Oja, Sirli Tamm, Sulev Reisberg, Raivo Kolde, Sven Laur, Hendrik Šuvalov, Harry-Anton Talvik, Jaak Vilo |
2 |
N. Hughes, D. Prieto-Alhambra, C. Diaz, P. Rijnbeek, on behalf of the EHDEN Consortium | |
3 |
FeederNet (Federated E-Health Big Data for Evidence Renovation Network) platform in Korea | Seongwon Lee, Chungsoo Kim, Junhyuk Chang, Rae Woong Park |
4 |
The Finnish OMOP data network (FinOMOP) | Anna Hammais, Persephone Doupi, Sampo Kukkurainen, Perttu Koskenvesa, Javier Gracia-Tabuenca, Oscar Brück, Leena Hakkarainen, Annu Kaila, Gustav Klingstedt, Kalle Kollin, Juha Koski, Jan Magnusson, Toni Mikkola, Pasi Rikala, Simo Ryhänen, Max Salmi, Ilona Siljander, Pia Tajanen, Juha-Matti Varjonen, Arto Vesterbacka, Arto Vuori, Arho Virkki, Tarja Laitinen, Kimmo Porkka |
5 |
The journey from central operational data-lake to Medica Centers CDM network | Guy Livne, Nadav Rappoport, Nir Makover, Hadas Eshel-Geva, Hadar Kapach, Tomer Hadad, Yarin Alon, Naama Perry-Cohen |
6 |
Integration prospects of the Ukrainian healthcare system with OMOP CDM | Tetiana Aleksandrova, Polina Talapova, Denys Kaduk, Maksym Trofymenko, Mariia Kolesnyk, Inna Ageeva, Max Ved |
7 | Norwegian registries onto OMOP Common Data Model: mapping challenges and opportunities for pregnancy studies | Nhung Trinh, Jared Houghtaling, Fabian Leonardo Martinez Bernal, Eimir Hurley, Emma Gesquiere, Lars Halvorsen, Hedvig Marie Egeland Nordeng |
8 | Transforming Danish Registries to the OMOP Common Data Model: use case on the Danish Colorectal Cancer Group (DCCG) Database | Andi Tsouchnika, Maliha Mashkoor, Andreas Weinberger Rosen, Eldar Allakhverdiiev, Jared Houghtaling, Freija Descamps, Mikail Gögenur, Viviane Annabelle Lin, Johan Stub Rønø Clausen, Karoline Bendix Bräuner, Julie Sparholt Walbech, Soham Ravindra Shinde, Ismail Gögenur |
9 | Semantic harmonization of the French National healthcare database (SNDS) | Lorien Benda, Cécile Roseau, Nicolas Thurin, Stéphanie Combes |
10 | OHDSI Germany: A recap after one year | Elisa Henke, Yuan Peng, Najia Ahmadi, Joshua Wiedekopf, Mareike Przysucha, Josef Schepers, Martin Sedlmayr, Ines Reinecke |
11 | OHDSI Italia: the Italian national node of OHDSI Europe | Lucia Sacchi |
12 | PHAROS, Platform for Harmonizing and Accessing Data in Real-time on Infectious Disease Surveillance Based on OMOP-CDM in Korea | Chungsoo Kim, Jimyung Park, Seongwon Lee, Rae Woong Park |
13 | Ensuring Data Quality in a Federated Data Network | Wout Vekemans, Michel Van Speybroeck |
14 | Applying k-anonymity and l-diversity in OMOP CDM databases | João Rafael Almeida, José Luís Oliveira |
15 | OMOP Genomic mapping capacities in conversion of comprehensive genomic profiling results | Maria Rogozhkina |
16 | Mapping PROMs data from the Dutch PROFILES registry to the OMOP CDM - experiences and challenges | Peter Prinsen, Chiara Attanasio, Corina van den Hurk, Nicole Horevoorts, Sebastiaan van Sandijk |
17 | OMOP project evolvement at Technische Universität Dresden over the past years | Ines Reinecke, Michéle Zoch, Yuan Peng, Elisa Henke, Najia Ahmadi, Martin Sedlmayr |
18 | Performance Improvement on mapping CPRD GOLD to OMOP CDM | Barrack Omondi, Daniel Prieto-Alhambra, Antonella Delmestri |
19 | OMOP CDM for European rare disease registries | Rowdy de Groot, Nirupama Benis, Pablo Alarcon, Rajaram Kaliyaperumal, Marco Roos, Ronald Cornet, Nuria Queralt-Rosinach |
20 | Challenges and solutions in using OMOP CDM to FAIRify a Dutch ICU quality registry | Daniel Puttmann, Nicolette de Keizer, Ronald Cornet, Eric van der Zwan, Ferishta Bakhshi-Raiez |
21 | A standard ETL process from REDCap to OMOP | Francesco Pozzoni, Matteo Gabetta, Mauro Bucalo, Nicola Barbarini |
22 | Current Status of OMOP-CDM in Asia-Pacific regions and Lessons for Data Quality Assessment: Collaborative CDM Inspection Study | Chungsoo Kim, Seongwon Lee, Jing Li, Can Yin, Jiawei Qian, Clair Blacketer, Anthony Molinaro, Dinuja Willigoda Liyanage, Mui Van Zandt, Rae Woong Park |
23 | Mapping UKB to the OMOP CDM: Challenges and Solutions | Sofia Bazakou, Maxim Moinat, Alessia Peviani, Anne van Winzum, Stefan Payralbe, Vaclav Papez, Spiros Denaxas |
24 | Mapping of complex constructs in OMOP CDM | Alexander Davydov, Christian Reich |
25 | Challenges and possible solutions for the maintenance of the OMOP CDM Standardized Vocabularies | Eduard Korchmar, Mariia Kolesnyk, Polina Talapova, Denys Kaduk |
26 | Mapping concepts from the Netherlands Cancer Registry to the OMOP-CDM - experiences and challenges | Chiara Attanasio, Floor Klijn, Jennifer Caffarel, Peter Prinsen |
27 | Common data environment for source vocabularies mapping | Irina Zherko |
28 | Pregnancy extension table in the OMOP CDM | Alicia Abellan, Edward Burn, Nhung Trinh, Sergio Fernández-Bertolín, Eimir Hurley, Daniel R. Morales, Hedvig Marie Egeland Nordeng, Talita DuarteSalles |
29 | Comparing Data Quality Dashboard results from consecutive ETL iterations: two new visualizations and one utility script | Elena G. Lara, Maxim Moinat, Anne van Winzum |
30 | An EHDEN Data Partner Experience: Transforming the Hospital i2b2 data repository into OMOP common data model | Maria Teresa García Morales, Miguel Pedrera Jimenez, Noelia García Barrio, Diego Boscá Tomás, Pablo Serrano Balazote, David Lora Pablos, Agustín Gómez de la Cámara |
Open-source analytics development |
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31 |
A dashboard for visual comparison of OMOP CDM databases | André Pedrosa, João Rafael Almeida, Michel Van Speybroeck, Maxim Moinat, Peter R. Rijnbeek, José Luís Oliveira |
32 |
The EHDEN Platform Roadmap | Michel Van Speybroeck, Maxim Moinat, Julia Kurps, Sebastiaan Van Sandijk, José Luis Oliveira, Peter Rijnbeek |
33 |
CohortsExport: A Shiny app to explore and export data from the OMOP Common Data Model | Vittoria Ramella, Matteo Gabetta, Nicola Barbarini |
34 |
EHDEN Academy – a global educational collaboration with OHDSI | Nigel Hughes, Henrik John, Michela Miani, Inari Soininen, Richard Tischler, Patrick Ryan, Peter Rijnbeek |
35 |
Two Hurdles in delivery of productised analytics | J Brewster, J Li, Sarah Seager, Christian Reich |
36 |
Miniaturizing Data Harmonization; Methods to Facilitate Training in the OMOP Data Ecosystem | Emma Gesquiere, Jared Houghtaling, Ivo Mbi Kubam, Frederic Jung, Ben Burke, Freija Descamps, Lars Halvorsen |
37 |
The EHDEN Portal – an entry web platform for OMOP CDM resources | João Rafael Almeida, André Pedrosa, Nigel Hughes, Peter Rijnbeek, José Luís Oliveira |
38 | OHDSI-On-A-Pi: Containerization of OHDSI Software Tools for Use on a Raspberry Pi | Jared Houghtaling, Lars Halvorsen |
39 | Perseus: Design and run your own ETL to CDM | Anton Ivanov, Samus Sergey, Alexander Efimov, Maxim Draschinsky |
40 | From ATLAS to predictive modeling CDM data extracting & Study preparations | Guy Livne, Nadav Rappoport, Nir Makover, Hadas Eshel-Geva, Hadar Kapach, Tomer Hadad, Yarin Alon , Naama Perry-Cohen |
41 | Mapping UK Biobank to the OMOP CDM: development of USAGI | Maxim Moinat, Sofia Bazakou |
Clinical applications |
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42 |
Pharmacological treatment pathways of chronic cough in adults in primary care in the Netherlands: A population-based study | Johnmary T. Arinze, Solomon Ioannou, Aniek F. Markus, Guy Brusselle, Peter R. Rijnbeek, Katia M.C. Verhamme |
43 |
TROY: Trials Replication through Observational study by Yonsei | Jaehyeong Cho, Chungsoo Kim, Kyulee Jeon, Ju-Young Shin, Rae Woong Park, Kyung Won Kim, Seng Chan You |
44 |
Implementing the OHDSI Community Approach to Phenotype a Complex Medical Condition in European Primary Care Data | Kristin Kostka, Evan Minty, Antonella Delmestri, Barrack Omondi, Martí Català, Edward Burn, Daniel Prieto-Alhambra, Annika M. Jödicke |
45 |
OMOP Mapping of Real-World Data From Brazil & Pakistan Towards Management of COVID-19 In the Global South | Elzo Pereira Pinto Junior, Priscilla Normando, Leandro Rodor de Oliveira, Muhammad Asaad Jamil, Muhammad Usman Afzal, Sergio Fernandez Bertolin, Vinícius de Araújo Oliveira, Rafael Souza, Maria Yury Ichihara, Maurício L. Barreto, Talita Duarte Salles, Daniel Prieto-Alhambra, Haroon Hafeez, Sara Khalid |
46 |
Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic for Cardiovascular Diseases (CHAPTERCVDs) | Seng Chan You, Subin Kim, Yongjae Lee, Jing Li, Can Yin, Mui Van Zandt |
47 |
Macrolides use among patients with asthma and chronic obstructive pulmonary disease – A drug utilization and prediction study | Victor Pera, Helen Panen, Maria de Ridder, Lies Lahousse, Peter Rijnbeek, Katia Verhamme |
48 |
Developing a frailty concept in the OMOP CDM among sexual minority older adults (age 50+) in the All of Us database | Brianne Olivieri-Mui, Chelsea Wong, Michael Wilczek, Jordan Bosse |
49 |
Trial feasibility assessments in federated hospital EHR networks, based on OMOP CDM: An objective of the IMI EU-PEARL Consortium | Eva-Maria Didden, Maxim Moinat, Esther Arevalo de Andres, Camille Couvert, Britt Dhaenens, Susana Kalko, Andreas Kremer, Martine Lewi, Cécile Spiertz, Eng Hooi Tan, Courtney Worrell, Nadir Ammour, Dipak Kalra |
50 |
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 Tugba Pekmez Kristiansen, Lasse Christensen, Michael Stellfeld, Atheline Major-Pedersen, Ditte Mølgaard-Nielsen, Mark White, Peter Jelnes |
51 |
Impact of the COVID-19 pandemic on eating disorders among adolescents and young adults in Catalonia: a population-based cohort study | Berta Raventós, Alicia Abellan, Andrea Pistillo, Carlen Reyes, Edward Burn, Talita Duarte-Salles |
52 |
Informativeness of clinical lymph node metastasis staging for patients undergoing curative intended surgery for colorectal cancer: A national multi-register study | Andreas Weinberger Rosen, Ilze Ose, Adamantia Tsouchnika, Ismail Gögenur |
53 |
Characteristics and outcomes of inflammatory bowel disease patients: an open, multinational OHDSI network study | Chen Yanover, Ramit Magen-Rimon, Jimyung Park, Rae Woong Park, Kwang Jae Lee, Sung Jae Shin, Nadav Rappoport, Tal El-Hay, Maytal Bivas-Benita, Pinchas Akiva, Yehuda Chowers, Roni Weisshof |
54 |
Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic for Diabetes Mellitus (CHAPTER-DM) | Yizhi Dong, Seng Chan You, Subin Kim, Jing Li, Can Yin, Mengling Feng |
Methodological research |
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55 |
Defining the valid analytic space for quantitative bias analysis in pharmacoepidemiology | James Weaver, Patrick B Ryan, Victoria Strauss, Marc A Suchard, Joel Swerdel, Daniel Prieto-Alhambra |
56 |
Impact of random oversampling and random undersampling on the development and validation of prediction models using observational health data | Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek |
57 |
Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases | Aniek F. Markus, Peter R. Rijnbeek, Jenna M. Reps |
58 |
Analyzing the impact of COVID-19 on the healthcare system: an OMOPCDM framework applied to Northern Italy | Sara Conti, Matteo Spezia, Carlo Franceschini, Elvira Beato, Roberta Ciampichini, Giacomo Crotti, Dario Montermini, Lorenzo Giovanni Mantovani, Alberto Zucchi |
59 |
The performance of overlap weighting vs inverse probability of treatment weights to minimize confounding and systematic error in COVID-19 vaccine effectiveness: an empirical evaluation study | Martí Català, Edward Burn, Trishna Rathod-Mistry, Antonella Delmestri, Daniel Prieto-Alhambra, Annika M. Jödicke |
60 |
Concept extraction from Dutch clinical text | Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek |
61 |
Assessing treatment effect heterogeneity using the RiskStratifiedEstimation R-package | Alexandros Rekkas, David van Klaveren, Peter R. Rijnbeek |
62 |
The use of data-driven vs. clinical based propensity score in covid-19 vaccine safety research | Xintong Li, Edward Burn, Daniel Prieto-Alhambra |
63 |
An Iterative Hard Thresholding Method for Patient Level Prediction Models | Mathilde G.I. Tans, Jenna R. Reps, Ross D. Williams |
64 |
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, Ravinder Claire, Shane Collins, Dalia Dawoud |
65 |
Utilising real-world evidence for health technology assessment: development of a cancer survival use case | Ravinder Claire, Jamie Elvidge, Dalia Dawoud |
66 |
Learning robust models from limited external statistics | Tal El-Hay, Chen Yanover |
67 |
Combining real-world and clinical trial data to estimate COVID-19 treatment effects | Ravinder Claire, Christina Read, Jamie Elvidge, Thomas Debray, Dalia Dawoud |
68 |
External validation of existing dementia prediction models on observational data | Luis H. John, Jan A. Kors, Egill A. Fridgeirsson, Jenna M. Reps, Peter R. Rijnbeek |
69 |
De-identification of Clinical Notes for Patients with Infectious Disease and Topic Modeling using Latent Dirichlet Allocation | Jimyung Park, Chungsoo Kim, RaeWoong Park |
70 |
Using geospatial approaches and machine learning for asthma and COPD outcomes: a systematic review | Daniel Jeannetot, Johnmary Arinze, Victor Pera, Peter Rijnbeek, Katia Verhamme |
71 |
Patient treatment trajectory modeling with Markov chains | Markus Haug, Raivo Kolde, Marek Oja, Maarja Pajusalu |
72 |
Development of an analytical pipeline for data-driven trend detection in routinely collected health data | Anthony G. Sena, Peter Rijnbeek, Dani Prieto-Alhambra, Sara Khalid |
73 |
TrajectoryViz: Interactive visualization of treatment trajectories | Marek Oja, Sirli Tamm, Markus Haug, Raivo Kolde |
74 |
Development of Prediction Models using Deep Learning on Dutch Unstructured Clinical Text | Gyan de Haan |
75 |
RCTrep: A package for the validation of methods for treatment effect estimation using real world data | Lingjie Shen, Gijs Geleijnse, Maurits Kaptein |
76 |
ARACHNE Network - Federated Study Execution | Gregory Klebanov, Alexey Manoylenko, Sebastiaan van Sandijk |
77 |
Towards Data Visualization in Cancer Research Using the Oncology Extension: Episodes in Lung Cancer Comparing Synthetic And Real World Data | Matteo Gabetta, Francesco Pozzoni, Rita De Molfetta, Tommaso Mario Buonocore, Miguel Pedrera Jiménez, Noelia García Bario, Blanca Baselga Peñalva, María Teresa García Morales, Diego Boscá Tomás, Paula Rubio Mayo, Alberto Tato Gómez, Víctor Quirós González, Luis Gonzaga Paz-Ares Rodríguez, Pablo Serrano Balazote, Jose Luis Bernal Sobrino, Martine Lewi, Jose-Felipe Golib-Dzib |
78 |
A Prediction Model Library | Ross D. Williams, Sicco den Otter, Jenna M. Reps, Peter R. Rijnbeek |
79 |
Active Pharmacovigilance using Real-World Data: Integrating OMOP-CDM in the PVClinical platform | Vlasios K. Dimitriadis, Stella Dimitsaki, George I. Gavriilidis, Christine Kakalou, Achilleas Chytas, Pantelis Natsiavas |
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