OHDSI Symposium 'Scaling up Reliable Evidence across Europe' June 3^rd, 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 3^rd 2024 at the ship SS Rotterdam. Saturday June 1^st, and Sunday June 2^nd 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.

Event Page
Workshop
Workgroups
Booklet

Video Recordings can be found on the OHDSI YouTube Channel.

Posters
Software demonstrations
Sponsors
Photos

Slides	Video	Description	Photo
		SESSION ONE 00:00 - Welcome to the European OHDSI Journey Peter Rijnbeek, PhD, Chair, Department of Medical Informatics, Erasmus MC 14:00 - Journey of OHDSI: Where Have We Been and Where We Can Go Together? Patrick Ryan, PhD, Janssen Research and Development, Department of Biomedical Informatics, Columbia University Medical Center 42:45 - Selection of European Initiatives Using the OMOP CDM Moderator: Renske Los, PhD, Assistant Professor of Medical Informatics, Department of Medical Informatics, Erasmus MC 43:33 - OHDSI Europe National Nodes building opportunities through collaboration - Renske Los, Erasmus MC, The Netherlands 1:05:00 - ONCOVALUE: Can Real-World Data Shape the Future of Health Technology Assessment in Oncology? - Andreas Henriksen, Copenhagen University Hospital, Denmark 1:12:17 - DigiONE: technical challenges and solutions to the European cancer OMOP conversions from hospital EHR - Piers Mahon, DIGICORE, UK 1:22:10 - The PHEMS Project: New Strategies in Health Data Sharing - Sofia Bazakou, The Hyve, The Netherlands 1:28:00 - Ecraid: European Clinical Research Alliance on Infectious Diseases - Ankur Krishnan, Heidelberg University Hospital, Germany 1:40:10 - PHederation - the Federated Network of Pulmonary Hypertension Registries - Eva-Maria Didden, Actelion, a Johnson & Johnson Company, Belgium 1:48:05 - Q&A
		SESSION TWO 09:00 - Collaborator Showcase: Rapid Fire Presentation Moderator: Katia Verhamme, MD, Associate Professor of Use and Analysis of Observational Data, Department of Medical Informatics, Erasmus MC, Rotterdam. 10:08 - Adoption of the OMOP Common Data Model in the UK Speaker: Alex Knight, Health Data Research UK 15:39 - Piloting the Transformation of Multiple Sclerosis Real-World Data to the OMOP CDM: Lessons Learned Speaker: Tina Parciak, UHasselt 21:45 - Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools Speaker: Tom Seinen, Erasmus MC 28:49 - Beyond Diagnostic Codes: A Weakly Supervised learning Framework for Accurate Multimorbidity Identification in Electronic Health Records Speaker: Luz Saúde, Portugal 34:05 - OHDSI meets Flowise to Streamline Biomedical Data Discovery and Analysis Speaker: João Almeida 38:16 - ReportGenerator: Automating study reports and visualization apps for DARWIN EU® research Speaker: Cesar Barboza Gutierrez, Erasmus MC 45:00 - Analysis of Lung Cancer Patient Treatment with Immune Checkpoint Inhibitors Using Natural Language Processing for Data Extraction from Electronic Health Records Speaker: Clara L. Oeste and Annelies Verbiest, Lynxcare 54:14 - An Exploration of Ovarian Cancer Therapy Sequence Utilization in Treatment-naive Women from 2008-2020 Speaker: Whitney Burton, Taipei Medical University 1:02:10 - Baseline Characterization and Treatment Pathways of Patients With Alport Syndrome Across Geographies: Exploring a Rare Disease in Multi-Database Retrospective Cohort Study Speaker: Katrin Manlik, Bayer AG
		SESSION THREE 06:55 - Large Scale Evidence Generation in EHDEN and DARWIN EU® Moderators: Daniel Prieto-Alhambra and Katia Verhamme, Department of Medical Informatics, Erasmus MC 06:55 - Introduction to EHDEN - Daniel Prieto Alhambra 10:15 - Predicting long term cancer survival for Health Technology Assessment: A Multinational Cohort Study Across Europe - Jeremy Dietz, National Institute for Health and Care Excellence 20:05 - Trends over time in medicines with suggested shortages in Europe - Marta Pineda-Moncusi, Oxford University 29:05 - Q&A 35:10 - Introduction to DARWIN EU® - Katia Verhamme 40:20 - DARWIN EU®- Trend of prescription opioid use in Europe - Annika Jödicke, Oxford University 53:05 - DARWIN EU®- Treatments of multiple myeloma in Europe from 2012-2022: a population-based network cohort study - Talita Duarte Salles, Erasmus MC 1:04:10 - Q&A 1:09:00 - What evidence are we going to showcase at OHDSI Europe in 2025? Patrick Ryan, Johnson & Johnson, Columbia University 1:32:00 - Closure Peter Rijnbeek, PhD, Chair, Department of Medical Informatics, Erasmus MC
Workshops
Part 1 Part 2		Vocabulary Workshop Part 1 and 2 *What you need to know about OHDSI Vocabularies to do phenotyping?* When: June 2nd, 10:00-15:00 Faculty: Vlad Korsik, Anna Ostropolets, Christian Reich, Patrick Ryan, Tatiana Skugarvskaya, Oleg Zhuk Description: The OHDSI Standardized Vocabularies is a mandatory reference standard in the OMOP CDM and enables standardized and robust research in the OHDSI Network. They are instrumental in identifying patients of interest, constructing features and navigating the results of studies. To use them to their full capacity, researchers need to know how to operate them and how to mitigate their shortcomings. This tutorial aims to describe the use of Vocabularies for phenotyping, specifically: Develop concept sets from code lists in the literature Make concept sets comprehensive  Simplify the concept set construction through the hierarchy (SNOMED, RxNorm, ATC and other hierarchies) Use tools for all this and more. Target Audience: Anyone interested in using the vocabularies
		Introduction to OHDSI tutorial When: June 1st, 10:00-12:30 Faculty: Aniek Markus, Renske Los Description: History & philosophy behind OHDSI How does the community work What can currently be done with the OHDSI tools What does it take to be able to use the tools Where and how can you learn more about OHDSI Target Audience: Anyone new to OHDSI, interested in data standards, methods research, open-source development or clinical evidence generation.
		Open-source Development Workshop When: June 1st, 10:00-12:30 Faculty: Adam Black, Cesar Barboza, Maarten van Kessel Description: Introduces participants to the OMOP CDM and how to contribute to the OHDSI community. Participants will learn practical skills, related to the OHDSI ecosystem and how to contribute meaningfully to ongoing projects. By the end of the workshop, attendees will be equipped with the knowledge to actively participate in the OHDSI community, enhancing both the tools and research impacting real-world health outcomes. Target Audience: Designed for beginners with no prior coding experience, the session covers the basics of using open-source software to engage in collaborative health data science.
		Phenotyping Workshop When: June 1st, 13:30-15:00 Faculty: Katia Verhamme, Talita Duarte-Salles Description: What is a phenotype? Why do we need phenotypes? How to create a phenotype in ATLAS Target Audience: Anyone new to cohort building in ATLAS
		HADES Workshop When: June 1st, 13:30-17:00 Faculty: Martijn Schuemie, Egill Fridgeirsson Description: Tutorial on how to use the HADES tools to query databases, create cohorts and perform simple characterizations. Target Audience: Anyone new to HADES and interested to use the tools. Good to have some familiarity with R.
Workgroups The workgroups were not recorded, as they were designed to be informal.
Natural Language Processing Workgroup When: June 1st, 15:30-17:00 Lead: Tom Seinen
Oncology Workgroup When: June 1st, 15:30-17:00 Lead: Asieh Golozar
National Node Meetings When: June 2nd, 10:00-12:30
Academy Hackathon When: June 2nd, 13:30-15:00 Lead: Henrik John, Renske Los
Extract Transform Load Workgroup When: June 2nd, 15:30-17:00 Lead: Maxim Moinat, Anne van Winzum, Melanie Philofsky
Patient-Level Prediction When: June 2nd, 15:30-7:00 Lead: Ross Williams, Egill Fridgeirsson

Symposium Booklet

The booklet can be found: here.

It includes information about the:

Symposium Agenda
Symposium Sponsors
Software Demonstrations
National Nodes
Poster Presentations
Workshop and Workgroup Agenda

Posters

Pdfs can be viewed by clicking on the poster title

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 Saeger, 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 and 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 Longtidinial 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. Willams, 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 Byttebier8, 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 Ogoe8, 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

Software Demonstrations
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 (removing the CONS)		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 in a DATOS-CAT Cohort Use Case		David Sarrat-González
DataSHIELD and OHDSI - an opportunity?		Jacek Chmiel
Empowering research with seamless data flow and research-ready, anonymised data in OMOP CDM: Learnings from the design of WAYFIND-R, a global precision oncology registry and research platform		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

OHDSI Symposium​ 'Scaling up Reliable Evidence across Europe' June 3rd, 2024

Workshops

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Symposium Booklet

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OHDSI Symposium 'Scaling up Reliable Evidence across Europe' June 3^rd, 2024