OHDSI Symposium 'Scaling up Reliable Evidence across Europe' June 3rd, 2024
The fifth European OHDSI Symposium called "Scaling up Reliable Evidence Across Europe" aimed to bring data partners, regulators, and researchers to collaborate and share results and ideas about the use of the OMOP-CDM in Europe.
The main symposium took place on Monday, June 3rd 2024 at the ship SS Rotterdam. Saturday June 1st and Sunday June 2nd were dedicated to workshop and workgroup meetings, held in the Education Centre of the Erasmus University Medical Center, Rotterdam.
The symposium had 360 participants, 25 plenary presentations, 130 posters, and 13 software demos.
Video recordings can also be found on the OHDSI YouTube Channel .
Sessions (Slides & Videos)
Watch recordings and download the slide decks for each session.
Workshops
Workshops held June 1–2, 2024.
Vocabulary Workshop Part 1 and 2
When: June 2nd, 10:00–15:00
Faculty: Vlad Korsik, Anna Ostropolets, Christian Reich, Patrick Ryan, Tatiana Skugarvskaya, Oleg Zhuk
Introduction to OHDSI tutorial
When: June 1st, 10:00–12:30
Faculty: Aniek Markus, Renske Los
Open-source Development Workshop
When: June 1st, 10:00–12:30
Faculty: Adam Black, Cesar Barboza, Maarten van Kessel
Phenotyping Workshop
When: June 1st, 13:30–15:00
Faculty: Katia Verhamme, Talita Duarte-Salles
HADES Workshop
When: June 1st, 13:30–17:00
Faculty: Martijn Schuemie, Egill Fridgeirsson
Workgroups
The workgroups were not recorded, as they were designed to be informal.
| Workgroup | When | Lead | Slides |
|---|---|---|---|
| Natural Language Processing Workgroup | June 1st, 15:30–17:00 | Tom Seinen | |
| Oncology Workgroup | June 1st, 15:30–17:00 | Asieh Golozar | |
| National Node Meetings | June 2nd, 10:00–12:30 | ||
| Academy Hackathon | June 2nd, 13:30–15:00 | Henrik John, Renske Los | |
| Extract Transform Load Workgroup | June 2nd, 15:30–17:00 | Maxim Moinat, Anne van Winzum, Melanie Philofsky | |
| Patient-Level Prediction | June 2nd, 15:30–17:00 | Ross Williams, Egill Fridgeirsson |
Symposium Booklet
The booklet can be found here.
Posters
Pdfs can be viewed by clicking on the poster title.
| # | Title | Author(s) |
|---|---|---|
| Open-Source Analytics Development | ||
| 1 | The DARWIN EU® Data Network | Maxim Moinat, Montse Camprubi, Sofia Bazakou, Anne van Winzum |
| 2 | DARWIN EU® - Trends of prescription opioid use in Europe | Junqing Xie, Mike Du, Yuchen Guo, Cesar Barboza, James Brash, Antonella Delmestri, Talita Duarte-Salles, Jasmin Gratton, Romain Griffier, Raivo Kolde, Wai Yi Man, Nuria Mercade-Besora, Marek Oja, Sarah Saeger, Katia Verhamme, Dina Vojinovic, Edward Burn, Daniel Prieto-Alhambra, Martí Català, Annika M. Jödicke |
| 3 | DARWIN EU® - Risk of Thromboembolic Events Associated With COVID-19 During the Omicron Period, and SARS-CoV-2 Vaccination | Xintong Li, Annika Jodicke, Katia Verhamme, Mees Mosseveld, James Brash, Sarah Seager, Laura Pérez Crespo, Nuria Mercade Besora, Talita Duarte Salles, Marek Oja, Raivo Kolde, Edward Burn, Albert Prats-Uribe, Daniel Prieto Alhambra, Marti Catala-Sabate |
| 4 | DARWIN EU® - Age-specific burden of RSV-related disease in Europe | Johnmary Arinze, Miguel-Angel Mayer, Guillaume Verdy, Maarten van Kessel, Juan Manuel Ramírez-Anguita, Angela Leis, Romain Griffier, Marek Oja, Raivo Kolde, Antonella Delmestri, James Brash, Laura Pérez-Crespo, Talita Duarte-Salles, Katia Verhamme |
| 5 | DARWIN EU® - Drug utilisation study of medicines with prokinetic properties in children and adults diagnosed with gastroparesis | Dina Vojinovic, Johnmary Arinze, Antonella Delmestri, James Brash, Sarah Saager, Guillaume Verdy, Núria Mercadé, Talita Duarte-Salles, Mees Mosseveld, Miguel-Angel Mayer, Katia Verhamme |
| 6 | DARWIN EU® - Characterization of Patients with Chronic Hepatitis B and C | Dina Vojinovic, Johnmary Arinze, Cesar Barboza Gutierrez, Antonella Delmestri, James Brash, Sarah Seager, Vianney Jouhet, Guillaume Verdy, Mees Mosseveld, Miguel-Angel Mayer, Angela Leis, Juan Manuel Ramírez-Anguita, Raivo Kolde, Katia Verhamme |
| 7 | Forecasting the prescription rates of antibiotics in the UK between 2013 to 2023 incorporating the impact of COVID-19 | Yuchen Guo, Edward Burn, Daniel Prieto-Alhambra, Marta Pineda-Moncusí |
| 8 | CdmOnboarding R package for data quality assessment | Sofia Bazakou, Maxim Moinat, Anne van Winzum |
| 9 | Trends over time in medicines with suggested shortages in Europe | Marta Pineda-Moncusi, Mees Mosseveld, Edward Burn, Dani Prieto-Alhambra, Theresa Burkard |
| 10 | The HMA-EMA Real-World Data Catalogues of data sources and studies: Facilitating data sources discoverability to support research and regulatory decision making | Catarina Moura, Elpida Kontsioti, Jasmine Gratton, Stefania Simou, Paolo Alcini |
| 11 | Harmonization to the OMOIP CDM of cancer patient data at the Modena Oncology Center | Enrico Calanchi, Luca Moscetti, Mirko Orsini, Laura Delsante, Enrica Martinelli, Andrea Spallanzani, Federica Bertolini, Elisa Pettorelli, Massimo Dominici |
| 12 | OMOPification of real-world cancer data to enable privacy-preserving analytics for cancer research: an implementation at the Maastricht University Medical Centre+ for the Digital Oncology Network for Europe | Prabash Galgane Banduge, Anne-Lore Bynens, Cédric Gillissen, Alberto Traverso, Petros Kalendralis, Andre Dekker, Lizza Hendriks, Aiara Lobo Gomes |
| 13 | A potentially scalable, sustainable and secure architecture to deploy and maintain ETL pipelines and OHDSI tooling for ECRAID-Base | Marc Padros Goossens, Frank Leus, Ben Burke, Tom Feusels, Jared Houghtaling, Freija Descamps, Lauren Maxwell, Ankur Krishnan |
| 14 | Universal Patient Trajectory Extraction from OMOP CDM | Markus Haug, Raivo Kolde |
| 15 | Enhancing Clinical Data Management and Utilization with the Data2Evidence Platform | Karthik Seetharaman, Santan Maddi, Satish Anbazhagan, Afreen Sikandara, Brandan Tan, Alicia Jing Wen Koh, Peter Hoffmann |
| 16 | Harmonizing Public Research Access Datasets for AI Advancements in Asthma/COPD Diagnosis | Frédéric Jung, Vangelis Sakkalis, Chang Sun, Mahmoud Ibrahim, Gökhan Ertaylan |
| 17 | Automation of STCM Vocabularies Review in OMOP CDM | Wai Yi Man, Antonella Delmestri |
| 18 | Development of an Automated and (near) Real-Time (ART) OMOP-CDM ETL System in Taiwan | Alex PA. Nguyen, Muhammad Solihuddin Muhtar, Min-Huei Hsu, Chih-Wei Huang, Jason C. Hsu |
| Observational Data Standards and Management | ||
| 19 | Additional technical data protection measures to improve the security of an OMOP/OHDSI infrastructure | Francesco Pozzoni, Matteo Gabetta, Mauro Bucalo, Anna Alloni, Giorgia Masina, Maurizio Pastore, Lucia Sacchi, Nicola Barbarini |
| 20 | The PHEMS project: New Strategies in Health Data Sharing - Clinical Use Cases | Guus Wilmink, Sofia Bazakou, Lydia Briggs, Roger Domingo Espinos, Aida Felipe Villalobos, Katariina Gehrmann, Liam Glueck, Yolanda Jordan Garcia, Jan Willem Kuiper, Jennifer McIntosh, Cristina Ruiz Herguido, Andrew Taylor, Marja Vaitinen, Arnau Valls Esteve, Gary Zhen Yuan Liew, Azadeh Tafreshiha |
| 21 | Towards all-Island sharing of Irish lymphoid blood cancer data: Landscape and gap analysis | Kluivert Boakye Duah, Michael Quinn, Eva Szegezdi, Lisa Crawford, Aedin C. Culhane, Mark Lawler, Siobhan Glavey, Ruth Clifford, Ian M. Overton |
| 22 | Expanding the OUH Clinical Data Warehouse data delivery infrastructure with OMOP CDM and OHDSI tools | Olivier Bouissou, Dan Johansen, Elisabeth Ross |
| 23 | Lessons Learned from EHDEN Data Partner Reviews: Improving ETL Processes and Data Quality in OMOP CDM Conversions | Evanette K Burrows, Clair Blacketer, Erica A Voss, Frank J DeFalco, Dmitry Dymshyts, Patrick B Ryan |
| 24 | An Exploration of Ovarian Cancer Therapy Sequence Utilization in Treatment-naive Women from 2008-2020 | Whitney Burton, Quynh Nguyen, Mohammad Solihuddin Muhtar, Christianus Heru Setiawan, Septi Melisa, Jason Hsu |
| 25 | Cloud-based, Automated Solution to Transforming Clinical Datasets to the OMOP CDM | Simon Thompson, Abigail Carter, Remi Shah, Adam Bekele, Myles Jones |
| 26 | Automated OMOP-CDM pipeline for the new EBMT Registry | Shirah Cashriel, Nir Assaraf, Ignacio Garcia, Fernando Cid, Freija Descamps |
| 27 | Standardization of the French national database SNDS in OMOP-CDM | Gaëlle Collumeau, Cécile Charles, Lorien Benda, Elena Mylonas, Axelle Menu, Gil Lampe, Stéphanie Combes |
| 28 | eHealth-Hub For Cancer –OHDSI for Cancer on the Island of Ireland | eHealth-Hub for Cancer Consortium, Ruth Clifford, Katie Crowley, Shirin Moghaddam, William Waston, Clare Donohoe, Eva Szegezdi, Siobhan Galvey, Mary Cahill, Ken Mills, Michael Quinn, Ian Overton, Mark Lawler, Aedin C. Culhane |
| 29 | FHIN (Federated Health Innovation Network) | Camille Deltomme, Kim Denturck, Peter De Jaeger, Wouter Willems, Bram De Caluwe, Geert Hellebaut, Noëlla Pierlet, Karel Van Brantegem, Peter Heirman, Yves Thorrez, Mieke Deschepper |
| 30 | Is it necessary to include SNOMED CT national extensions in ATHENA? Struggling with adaptation from BIFAP data model to OMOP CDM | Juan Ignacio Díaz-Hernández, Hermenegildo Martínez-Alcalá, Cristina Justo-Astorgano, Ana Llorente, Arturo Álvarez, Miguel Ángel Macía |
| 31 | National Drug Code (NDC) code reuse: scope of the problem and methods to solve. | Dmitry Dymshyts, Clair Blacketer, Evanette K Burrows, Anna Ostropolets, Erica A Voss |
| 32 | Predicting Colorectal Cancer Liver Metastases using TMUCRD-Mapped OMOP CDM | Yudha E. Saputra, Daniel C.A. Nugroho, Muhammad Solihudin, Jason C. Hsu |
| 33 | Creating clinically meaningful cancer groups from SNOMED for care systems and care quality research: a head and neck case study | Hayley Fenton, Elisabeth Ross, Elin Hallan Naderi, Anne-Lore Bynens |
| 34 | Improving vocabulary mapping to OMOP-CDM concepts: an AI-based automated and collaborative mapping platform | João Fonseca, António Bezerra, Gonçalo Teixeira, Miguel Rebelo, Madalena Plácido, Ana Costa, Ivan Pereira |
| 35 | Deployment approach for first phase of OMOP CDM harmonization and network study participation at CuSL | Lars Halvorsen, Joëlle Thonnard, Aline Van Maanen, Audrey Timmermans, Yannick Barussaud, Alix Collard, Emma Gesquire, Ben Burke, Mahsa Maleki Nazari, Shirah Cashriel |
| 36 | Expanding the Treatment Episode concept in the Observational Medical Outcomes Partnership Common Data Model - Experience from Real-World data modelling in the ONCOVALUE collaboration | Andreas Henriksen, Juho Lähteenmaa, Cecilie Koefoed-Nielsen, Samu Eränen, Andrea Roncadori, Ilaria Massa, Andreas Bjerrum |
| 37 | ETL for OMOP CDM v5.4 of large-scale population data using Databricks and Apache Spark | Silvia Jimenez, Mehrdad A. Mizani, Shirah Cashriel, Emma Gesquiere, Jadene Lewis, Angela Wood, Rouven Priedon, Anne Li |
| 38 | First steps towards a Danish ICU Data and Research Platform | Kaas-Hansen BS, Placido D, Thorsen-Meyer H-C, Perner A |
| 39 | A Modular ETL Framework for Standardized Data Model Conformance in Oncology Real-World Evidence Generation | Danial Kamran, Lisa Merker, Guillaume Azarias, Stefan Schilling |
| 40 | Mapping NHS Cancer Records to OMOP | Laura Kerr, Abigail Carter |
| 41 | SNOMED overhaul and its impact on ETL and phenotypes | Masha Khitrun, Alexander Davydov, Oleg Zhuk |
| 42 | Adoption of the OMOP Common Data Model in the UK | Alex E. Knight, Paola Quattroni, David Seymour, Monica Jones, Geoff Hall, Sam Cox, Uwaye Ideh, Emily Jefferson |
| 43 | DATOS-CAT: Leveraging OMOP-CDM for the standardization, integration and analysis of population-based biomedical data in Catalonia | Judith Martinez, David Sarrat-González, Xavier Escribà-Montagut, Aikaterini Lymperidou, Alberto Labarga |
| 44 | Patient-Level data export based on ATLAS Cohort Definitions | Marc Olivé, Sandra Pulido, Gabriel Maeztu |
| 45 | Lessons Learned Mapping UK Pain Datasets to the OMOP Common Data Model | Gordon Milligan, Erum Masood, Phil Appleby, Phil Quinlan, Sam Cox, Armando Mendez Villalon, Tom Giles, Calum MacDonald, Christian Cole |
| 46 | Conversion of the Rheumatology Department Data to the OMOP Standard in a Dutch Hospital. | Manon Merkelbach, Tim Jansen, Piet V Riel, Ruud Simons, Menno Hoogeveen |
| 47 | Using OHDSI standards to host Longitudinal Mental Health Data in a staging database for pushing into OMOP: Lessons from the INSPIRE network Datahub | Bylhah Mugotitsa, Agnes Kiragga, Jim Todd, Jay Greenfield, Michael Ochola, Evans Omondi, Tathagata Bhattacharjee, David Amadi, Dora Mailosi |
| 48 | Conversion of the Papageorgiou General Hospital EHR to the OMOP Common Data Model | Grigoris Papapostolou, Achilleas Chytas, Alexandros Rekkas, Maria Bigaki, Demetrios Zeimpekis, Lampros Dermentzoglou, George Tortopidis, Pantelis Natsiavas |
| 49 | Enhancing Healthcare Insights: OMOP Harmonization and Integration of Surgical Procedure Database into EHDEN with BC Platforms' Solutions | Mai TN Nguyen, Stefano Gamage, Serena Ciaburri, Kalle Pärn, Viktoria Sassi-Prantner, Hang T.T. Phan |
| 50 | Improving completeness in mapping cancer registry data to OMOP CDM by using alternative source fields | Tapio Niemi, Eloïse Martin, Vincent Faivre, Patrick Arveux, Simon Germann, Valérie Pittet, Jean-Luc Bulliard |
| 51 | Piloting the Transformation of Multiple Sclerosis Real-World Data to the OMOP CDM: Lessons Learned | Tina Parciak, Kirstin Tümler, Alexander Stahmann, Emma Gesquiere, Freija Descamps, Liesbet M. Peeters |
| 52 | Enhancing Real-World Clinical Data Analysis: Integrating NLP-derived results with OMOP CDM | Mónica Arrúe, Mariona Forcada, María Quijada, Paula Chocrón, Gabriel de Maeztu |
| 53 | Expanding the OMOP Common Data Model to support Extracorporeal Life Support research | Clemens Rieder, Oleg Zhuk, Ahmed Said, Peta M.A. Alexander, Dominik J. Hoechter |
| 54 | How metadata empowers MedDRA hierarchies and mappings | Mikita Salavei, Oleg Zhuk, Vlad Korsik, Alexander Davydov |
| 55 | Custom vocabulary management in ETL | Tatsiana Skuhareuskaya, Vlad Korsik, Vojtech Huser, Alexander Davydov |
| 56 | Transforming Clinical Trial Data to the OMOP CDM | Cynthia Sung, Mike Hamidi, Zhen Lin, Tom Walpole, Rebecca Baker, Melissa Cook, Shital Desai, Priya Gopal, Dan Hartley, Priya Meghrajani, Tra Nguyen, Paul Orona, Katy Sadowski, Sebastiaan van Sandijk, Philip Solovyev, Ramona Walls, Kenneth J. Wilkins, Qi Yang, the Clinical Trial Working Group |
| 57 | Enhancing Neuropsychiatric Data Integration with OMOP: A Comprehensive Landscape Analysis by the OHDSI Psychiatry Working Group | Polina Talapova, Dmytro Dymshyts, Andrew E. Williams, Piper A. Ronallo, Shilpa Ratwani, Callum Harding, Dong Yun Lee, Tatiana Skugarevskaya |
| 58 | Defining international approaches for the detection of emergent metastasis and the classification of site of metastasis from hospital EHR | Stelios Theophanous, Sue Cheeseman, Elin Hallan Naderi, Elisabeth Ross, Anne-Lore Bynens, Prabash Galgane Banduge, Petros Kalendralis, Aiara Lobo Gomes, Piers Mahon |
| 59 | Real-World Hospital Data Integration Processes and Clinical Information System Architectures across European Comprehensive Cancer Centres (ONCOVALUE) | Kevin Tittel, Nora Franzen, Louise Janssen, Wim van Harten, Valesca Retèl |
| 60 | Leveraging FHIR for a generic EHR to OMOP-ETL: can we make an ETL process reusable? | Sebastiaan van Sandijk, Renske Los |
| 61 | “Health Orphans” - Rare diseases on their way to OMOP and into clinical trials | Michele Zoch, Ines Reinecke, Christian Gierschner, Richard Gebler, Romina Blasini, Josef Schepers, Martin Sedlmayr |
| 62 | Integration of Clinical and Genomic Data Mapped to the OMOP Common Data Model in a Federated Data Network in Belgium | Tatjana Jatsenko, Murat Akand, Joris Robert Vermeesch, Dries Rombaut, Michel Van Speybroeck, Martine Lewi, Valerie Vandeweerd |
| 63 | VALO Feasibility Study on the OMOP CDM Maturity in the Nordic Countries | Persephone Doupi, Gustav Klingstedt, Saara Malkamäki, Markus Kalliola, Heidi Hakala, Mikko Kaasinen, Janne Kauhanen, Erika Natunen, Pasi Rikala, Anna Virtanen, Elina Sarpola |
| Clinical Applications | ||
| 64 | ONCOVALUE - Implementing value-based oncology care at European cancer hospitals | Mads Andersen, Juho Lähteenmaa, Johanna Mattson, Ulrik Lassen, Andreas Bjerrum |
| 65 | The Mystery of PHQ-9 Questionnaires’ Predictive Accuracy | Yonatan Bilu, Tal El Hay |
| 66 | Institute of Analytics for Health | M. Borshchivska, A. Kanfoud, T. Helleputte |
| 67 | Analysis of Lung Cancer Patient Treatment with Immune Checkpoint Inhibitors Using Natural Language Processing for Data Extraction from Electronic Health Records | Iege Bassez, Laura Deckx, Vincent Geldhof, Annelies Verbiest, Shahbaz Pervaiz, Dries Hens, Philip Debruyne, Christof Vulsteke, Clara L. Oeste |
| 68 | PHederation – the Federated Network of Pulmonary Hypertension Registries | Eva-Maria Didden, Valerie van Baalen, Michel van Speybroeck, Monika Brand |
| 69 | Longitudinal trajectories of polypharmacy in older people, and their association with the risk of mortality: A joint latent class model analysis of real-world data from the UK and the Netherlands | Leena Elhussein, Ross D Williams, Wai Yi Man, Edward Burn, Antonella Delmestri, Victoria Y Strauss, Daniel Prieto-Alhambra |
| 70 | Deep learning for patient-specific modelling of Acute Myeloid Leukemia based on longitudinal clinical laboratory data and the OMOP common data model | Eric Fey, Salma Rachidi, Alexey Ryzhenkov, Valtteri Nieminen, Tomi Mäkelä, Oscar Brück, Kimmo Porkka |
| 71 | Harmonising Surgical Data: Experience from the Hip Fracture Mini Federated Network of Registries | Marissa G. Fiorello, Kristin Kostka, Justin Manjourides, Xavier L. Griffin, Jennifer C.E Lane |
| 72 | Using Real-world to Unlock the Potential of Artificial Intelligence in Enhancing Diagnostic-Therapeutic Care Pathways in Pediatrics | Diana Ferro, Silvia Capuzzi, Francesco Fabozzi, Antonella Cacchione, Andrea Carai, Alberto Tozzi, Angela Mastronuzzi |
| 73 | An Industry Partner experience of an EHDEN multi-country federated study characterising an alopecia areata cohort | Abaigeal Jackson, Genevieve Gauthier, Griffith Bell, Ioannis Biblias, Jimmy Toulas, Yi-Chien Lee, Erwin Bruninx |
| 74 | Adaption of the OMOP CDM for Rheumathology: A Portuguese experience. | Catarina Tomé, Enrico Calanchi, Laura Delsante, Ângela Afonso, Daniel Silva, Ana Rita Lopes, João Eurico Fonseca |
| 75 | IODA, an ATLAS-based software for the INAH Community | A. Kanfoud, M. Borshchivska, T. Helleputte |
| 76 | Incorporating Temporal Electronic Health Records (EHRs) into Clinical Prediction Models | Estelle Lampel, Aniek Markus, Tom Seinen |
| 77 | An international multi-centre federated-network data analysis using routine health data investigating disparities in care for patients with scaphoid fractures. | Usama Rahman, Gongliang Zhang, Benjamin Martin, Paul Nagy, Avi Giladi, Dawn Laporte, DS Edwards, Xavier Griffin, Jennifer Lane |
| 78 | Developing a Clinical Decision Support System Software Prototype that Assists in the Management of Patients with Self-Harm based on the use of national registries harmonized in OMOP CDM: the PERMANENS Project. | Philippe Mortier, Franco Amigo, Madhav Bhargav, Susana Conde, Montserrat Ferrer, Oskar Flygare, Busenur Kizilaslan, Laura Latorre Moreno, Angela Leis, Miguel Angel Mayer, Víctor Pérez Sola, Ana Portillo van Diest, Juan Manuel Ramírez-Anguita, Ferran Sanz, Gemma Vilagut, Jordi Alonso, Lars Mehlum, Ella Arensman, Johan Bjureberg, Manuel Pastor, Ping Qin |
| 79 | Baseline Characterization and Treatment Pathways of Patients With Alport Syndrome Across Geographies: Exploring a Rare Disease in a Multi-Database Retrospective Cohort Study | Katrin Manlik, Glen James, Andrea Scalise, Charlie Scott, Daloha Rodriguez Molina, David Vizcaya |
| 80 | Challenges in harmonising data across multiple biobanks | Karyn Mégy, Rebecca Akhanemhe, Ben Hollis, Ali Abbasi, Amanda O’Neill, Shikta Das, Stewart MacArthur, Sean O’Dell, Sebastian Wasilewski, Quanli Wang, Slavé Petrovski, Jen Harrow |
| 81 | The Paradox of Precision Medicine - Challenges and approaches to solutions at Oslo University Hospital | Elin Hallan Naderi, Elisabeth Ross |
| 82 | Enhancing Pediatric Care Data Collaboration through Privacy-Enhanced Federated Learning and Anonymization | Timo Miettinen, Mehreen Ali, Tuomo Pentikäinen |
| 83 | Prediction of Incident Dementia Among Chronic Disease Patients: A Multi-Cohort Multi-Center Observational Patient-Level Prediction Study | Phan Thanh-Phuc, Sunny Lin, Daniel C.A. Nugroho, Muhammad Solihuddin Muhtar, Nguyen Phung-Anh, Seng Chan You, Christine Y. Lu, Nicole Pratt, Jason Hsu |
| 84 | Characterization of Heavy Menstrual Bleeding in 11 data sources from 9 countries using OMOP-CDM: a European Health Data Evidence Network study | Marta Pineda Moncusí, Siir Su Saydam, George Argyriou, Ronald Herrera, Eric Fey, Kimmo Porkka, Angela Leis, Miguel Angel Mayer, Juan Manuel Ramírez-Anguita, Zsolt Bagyura, Loretta Kiss, Peter Rijnbeek, Marcel de Wilde, Saeed Hayati, Hedvig Nordeng, Nhung Trinh, Asieh Golozar, Mariana Schiffer Acar, Bettina Althoff, Carina Dinkel-Keuthage, Carsten Moeller, Gianmario Candore |
| 85 | Standardizing European sarcoma registry data to the OMOP Common Data Model: the retroperitoneal sarcoma use case | Peter Prinsen, Paolo Lasalvia, Roberto Lillini, Vittoria Ramella, Anna Alloni, Joanna Szkandera, Espen Enerly, Maaike van Swieten, Siri Larønningen, Julien Bollard, Audrey Pons, Thomas Gaudin, Claire Chemin-Airiau, Alric Sans, Jean-Yves Blay, Arnaud Malfilatre, Danielle Newby, Gijs Geleijnse, Annalisa Trama |
| 86 | Daily dose assessment of medicines administered in intensive care unit and inpatient settings in a general hospital | Juan Manuel Ramírez-Anguita, Miguel A. Mayer, Angela Leis, Martí Català |
| 87 | External Validation of the Revised Cardiac Risk Index (RCRI) Clinical Prediction Model in observational health care databases | Alexander Saelmans, Evan Minty, Peter Rijnbeek, Jenna Reps, Ross Williams |
| 88 | Implementation and Updating of Artificial Intelligence Clinical Prediction Models: a Systematic Review | Alexander Saelmans, Tom Seinen, Victor Pera, Aniek Markus, Egill Fridgeirsson, Henrik John, Peter Rijnbeek, Jenna Reps, Ross Williams |
| 89 | The association between comorbid depression and insulin initiation in type 2 diabetes: A cohort OHDSI study | Christianus Heru Setiawan, Daniel C.A. Nugroho, Phan Thanh-Phuc, Septi Melisa, Muhammad Solihuddin Muhtar, Nguyen Phung-Anh, Jason C. Hsu |
| 90 | OHDSI in Africa and Partnerships with European Institutions | Cynthia Sung, Agnes Kiragga, Kofi Agayre, OO Aluko, Daniel Ankrah, Chidi Asuzu, Adam Bouras, Geert Byttebier, Aize Cao, Ahmed El-Sayed, Chris Fourie, Nega Gebreyesus, Jay Greenfield, Lars Halvorsen, Jared Houghtaling, Katherine Johnston, Andrew S. Kanter, Mack Kigada, Sylvia Muyingo, Henry Ogoe, Bolu Oluwalade, Mariette Smith, Amelia Taylor, Marleen Temmerman, Jim Todd, Marc Twagirumukiza, Daniel M Wanga, Andrew Williams, the OHDSI Africa Chapter |
| 91 | Imminent Subsequent Fractures In Postmenopausal Women With Fragility Fractures: Incidence And Patient Characteristics From Six European Countries | Xihang Chen, Trishna Rathod-Mistry, Gianluca Fabiano, Antonella Delmestri, Alireza Moayyeri, Joshua Warden, Carlen Reyes, James Brash, Katia Verhamme, Mees Mosseveld, Sarah Seager, Rafael Pinedo-Villanueva, Eng Hooi Tan |
| 92 | The risk of immune- and inflammatory post-acute sequelae of COVID-19 (PASC): a network study in 6 European countries, the US, and Korea | Theresa Burkard, Kim López-Güell, Martí Català, Raivo Kolde, Anneli Uusküla, Daniel Dedman, Jessie O Oyinlola, Juan Manuel Ramírez-Anguita, Miguel A. Mayer, Talita Duarte-Salles, Laura Pérez-Crespo, Alicia Abellan, Kristin Kostka, Núria Mercadé-Besora, Lourdes Mateu, Cora Loste, Roger Paredes, Mees Mosseveld, Jaime Meléndez-Cardiel, Nhung TH Trinh, Hedvig ME Nordeng, Chungsoo Kim, Ji-Woo Kim, Dominique Delseny, Gregoire Mercier, Edward Burn, Antonella Delmestri, Wai Yi Man, Annika M Jödicke, Daniel Prieto-Alhambra, Junqing Xie |
| Methodological Research | ||
| 93 | Dimension Reduction Techniques for Clinical Prediction Models using Electronic Health Record data | Roëlle Bänffer, Aniek Markus, Tom Seinen |
| 94 | Context: the value of matched sampling for large-scale characterisation during phenotype diagnostics | Edward Burn, Mike Du, Yuchen Guo, Núria Mercadé-Besora, Albert Prats-Uribe, Daniel Prieto-Alhambra, Martí Català |
| 95 | Exploring Embedding Representations for Structured Data in the OMOP CDM: Use-Case for Long Hospitalization Prediction | Jorge Cerejo, Simão Gonçalves, Bernardo Neves, José Maria Moreira, Nuno A. da Silva, Francisca Leite |
| 96 | Transforming lung cancer EHR data into the OMOP CDM: A case study of Non-Small Cell Lung Cancer | Evangelos Chandakas, Ping Sun |
| 97 | OMOP concept code selection with GPT-4 | Vita De Vos, Michiel Larmuseau, Jana Labeau, Nicky Van Der Vekens, Peter De Jaeger |
| 98 | Predicting long term cancer survival for Health Technology Assessment: A Multinational Cohort Study Across Europe | Jeremy Dietz, Ian Koblbauer, Ravinder Claire, James Love-Koh, Jamie Elvidge, Irene López-Sánchez, Laura Pérez-Crespo, Anna Palomar Cros, Asieh Golozar, Antonella Delmestri, George Corby, Marta Alcalde Herraiz, Abigail Robinson, Marti Catala Sabate, Edward Burn, Wai Yi Man, Xihang Chen, Miguel-Angel Mayer, Juan Manuel Ramirez Anguita, Maria Angeles Leis Machin, Nicola Symmers, Mahéva Vallet, Colin McLean, Peter Hall, Mees Mosseveld, Katia Verhamme, Espen Enerly, Peter Prinsen, Jelle Evers, Marek Oja, Raivo Kolde, Eric Fey, Tiago Taveira Gomes, Alberto Moreno Conde, Evelyne Fournier, Tommi Kauko, Rafael Marcos Gragera, Talita Duarte Salles, Dalia Dawoud, Danielle Newby |
| 99 | A collaborative neuroscience research program on Cluster Headache across a standardized health data network | Christian Laut Ebbesen, Kristine Harrsen |
| 100 | Evaluating Regulatory Actions with Time Series Methods: A Study on Fluoroquinolones Usage in UK Primary Care and Hospitals | Yuchen Guo, Berta Raventós, Leena Elhussein, Kim López-Güell, Eng Hooi Tan, Martí Català, Albert Prats-Uribe, Dan Dedman, Wai Yi Man, Hezekiah Omulo, Antonella Delmestri, Jennifer Lane, Usama Rahman, Xavier Griffin, Chuang Gao, Christian Cole, Patrick Batty, John Connelly, Helen Booth, Alison Cave, Katherine Donegan, Daniel Prieto-Alhambra, Edward Burn, Annika M. Jödicke |
| 101 | Exploring Drug Utilization Patterns in Osteoporosis Therapy | Balqis Istiqomah Gusbela, Septi Melisa, Ming-Hung Teng, Daniel C.A Nugroho, Jason C. Hsu |
| 102 | Structured and unstructured data from first and second line care combined in OMOP datawarehouses | T. Helleputte, M. Borshchivska, A. Kanfoud, G. Vanhalst, T. Klein, P. Olivier |
| 103 | Transfer learning for rare disease prediction | Luis H John, Jenna M Reps, Egill A Fridgeirsson |
| 104 | Advancing Certification and Evaluation of Medical Device Software in the EU using OMOP | Frédéric Jung, Chang Sun, Mahmoud Ibrahim, Gökhan Ertaylan |
| 105 | Method for Discovering Cohort-based Trajectories from OMOP CDM | Kunnar Kukk, Angela Kannukene, Sulev Reisberg |
| 106 | Advancing Value-Based Cancer Care: BC Platforms' Systematic Approach to OMOP Oncology Federated Query and Analytical Solutions in the ONCOVALUE consortium | Mai TN Nguyen, Inka Lehtonen, Kalle Pärn, Mark Heffernan, Anni Ahonen-Bishopp, Hang T.T. Phan |
| 107 | Cancer Survival: A Multinational Cohort Study Using the OMOP Common Data Model | Irene López-Sánchez, Laura Pérez-Crespo, Ravinder Claire, Anna Palomar, Ian Koblbauer, Jeremy Dietz, Jamie Elvidge, James Koh, Asieh Golozar, Juan Manuel Ramírez-Anguita, Angela Leis, Miguel-Angel Mayer, Nicola Symmers, Mees Mosseveld, Espen Enerly, Peter Prinsen, Jelle Evers, Marek Oja, Raivo Kolde, Eric Fey, Tiago Taveira-Gomes, Alberto Moreno Conde, Evelyne Fournier, Kauko Tommi, Dalia Dawoud, Rafael Marcos Gragera, Talita Duarte Salles, Danielle Newby |
| 108 | Trade-offs in the design of explainable prediction models for health care | Aniek F. Markus, Jan A. Kors, Katia M.C. Verhamme, Peter R. Rijnbeek |
| 109 | Preparatory work for efficient mapping of Hungarian drug codes | Ágota Mészáros, Tibor Héja, Zsolt Bagyura |
| 110 | The Onco Health Data Dock: A Data Lake for Real-Time Mapping and Harmonization in Pediatric Oncology | Diana Ferro, Silvia Capuzzi, Francesco Fabozzi, Antonella Cacchione, Andrea Carai, Alberto Tozzi, Angela Mastronuzzi |
| 111 | Beyond Diagnosis Codes: A Weakly Supervised Learning Framework for Accurate Multimorbidity Identification in Electronic Health Records | Bernardo Neves, Jorge Cerejo, Simão Gonçalves, José Maria Moreira, Nuno A. da Silva, Francisca Leite, Mário J. Silva |
| 112 | Excess healthcare cost associated with chronic diseases. A comparative study among nine European countries | Boris Polanco, Diana Pacheco Barzallo, Ana Lucía Oña Macías |
| 113 | Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools | Tom M Seinen, Jan A Kors, Erik M van Mulligen, Peter R Rijnbeek |
| 114 | Common Data Environment and ICD family mappings implications | Irina Zherko, Oleg Zhuk, Vlad Korsik, Timur Vakhitov, Alexander Davydov |
Software Demonstrations
Tools and platforms presented during the symposium.
| Title | Presenter |
|---|---|
| ARACHNE Data Node and Execution Engine runtime to enable network studies | Alexey Manoylenko |
| The MOMIS platform: semantic integration and machine learning to improve the OMOP CDM harmonisation process | Enrico Calanchi |
| OHDSI meets Flowise to Streamline Biomedical Data Discovery and Analysis | João R. Almeida |
| CohortSymmetry: an R package for Prescription Sequence Symmetry Analysis using the OMOP CDM | Xihang Chen |
| omock: an R package for creating mock data in the OMOP CDM format for software testing | Mike Du |
| omocept: an R package for querying and visualising omop ConceptS | Andy South |
| CohortConstructor - an R package to build and curate cohort tables | Nuria Mercade-Besora |
| dsOMOP: Federated Analysis of Harmonized Clinical Data Combining OMOP CDM and DataSHIELD | David Sarrat-González |
| DataSHIELD and OHDSI - an opportunity? | Jacek Chmiel |
| WAYFIND-R: anonymised data in OMOP CDM | Tom Stone |
| CohortSurvival: an R package for survival analysis using the OMOP CDM | Kim López Güell |
| ReportGenerator: Automating study reports and visualization apps for DARWIN EU® research | Cesar Barboza Gutierrez |
Gallery
Sponsors




























































































