Apr. 23, 2024
The April 23 community call focused on the CDM and Themis Process. This call provided historical and current information about both the CDM and Themis workgroups, including their mission and processes. Presentations were made by our April Olympians co-leads:
– Clair Blacketer, Director, Observational Health Data Analytics, Janssen Research & Development
– Melanie Philofsky, Senior Business Analyst and Project Manager, Odysseus Data Services, Inc.
This session also included our fourth update on the April Olympians community activity. You can watch the full presentation below.
Community Updates
• Congratulations to the team of Roger Ward, Christine Mary Hallinan, David Ormiston-Smith, Christine Chidgey, and Dougie Boyle on the publication of The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset in PLOS One.
• Congratulations to the team of Christian Gulden, Philipp Macho, Ines Reinecke, Cosima Strantz, Hans-Ulrich Prokosch, and Romina Blasini on the publication of recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) in Computers in Biology and Medicine.
• Congratulations to the team of Giorgio Gandaglia, Francesco Pellegrino, Asieh Golozar, Bertrand De Meulder, Thomas Abbott, Ariel Achtman, Muhammad Imran Omar, Thamir Alshammari, Carlos Areia, Alex Asiimwe, Katharina Beyer, Anders Bjartell, Riccardo Campi, Philip Cornford, Thomas Falconer, Qi Feng, Mengchun Gong, Ronald Herrera, Nigel Hughes, Tim Hulsen, Adam Kinnaird, Lana Y.H. Lai, Gianluca Maresca, Nicolas Mottet, Marek Oja, Peter Prinsen, Christian Reich, Sebastiaan Remmers, Monique J. Roobol, Vasileios Sakalis, Sarah Seager, Emma J. Smith, Robert Snijder, Carl Steinbeisser, Nicolas H. Thurin, Ayman Hijazy, Kees van Bochove, Roderick C.N. Van den Bergh, Mieke Van Hemelrijck, Peter-Paul Willemse, Andrew E. Williams, Nazanin Zounemat Kermani, Susan Evans-Axelsson, Alberto Briganti, James N’Dow, on behalf of the PIONEER Consortium on the publication of Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data in European Urology.
• Applications are now being accepted for the 2024 Maternal Health Data Science Fellowship, which is designed to empower clinical investigators to leverage emerging technologies for improved maternal and neonatal care while reducing morbidity and mortality. The program, which will include the components of career development, practice and networking, will train clinical investigators in observational research methods to enable them to conduct reproducible research and generate real-world evidence. More information, including application details, are now available, and the deadline to apply is May 15, 2024.
• The third annual OHDSI DevCon will be held virtually on Friday, April 26, from 9 am-3 pm ET. Join leaders from our Open-Source Community for a day to both welcome and inform both new and veteran developers within the OHDSI Community. More details on the agenda will be posted when available.
• Registration is now OPEN for the 2024 OHDSI Europe Symposium, which will be held June 1-3 in Rotterdam, Netherlands. There will be tutorials and workshops June 1-2 at the Erasmus University Medical Center, and the main conference will be held Monday, June 3, on the Steam Ship Rotterdam. Please visit the event homepage for more information and registration details.
2024 OHDSI Global Symposium
• Registration is now open for the 2024 Global Symposium, which will be held Oct. 22-24 at the Hyatt Regency Hotel in New Brunswick, N.J., USA. The three-day event will feature tutorials on Day 1, plenaries and the collaborator showcase on Day 2, and workgroup activities on Day 3.
• Day 1 will open with a single tutorial in the morning: An Introduction to the Journey from Data to Evidence using OHDSI. There will be four advanced tutorials during the afternoon: An Introduction to the Journey from Data to Evidence using OHDSI; Developing and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP Common Data Model; So, You Think You Want To Run an OHDSI Network Study?; and Using the OHDSI Standardized Vocabularies for Research. You can select your tutorials during the registration process.
• Collaborator Showcase submissions are now being accepted, and all details about the event are available here. Submissions are due by Friday, June 21, at 8 pm ET. Notifications of acceptance will be sent out by Tuesday, Aug. 20.
OHDSI Social Showcase
• Research from the 2023 Global Symposium Collaborator Showcase can be viewed on the Global Symposium Showcase page. Research is also being shared daily on OHDSI’s LinkedIn, Twitter/X and Instagram feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:
Monday — Enhancing Data Quality Management: Introducing Capture and Cleanse Modes to the Data Quality Dashboard (Frank DeFalco)
Tuesday — Making OMOP Happen: An Implementation Science Approach (Maya Younoszai)
Wednesday — Evaluation of Study Execution using Large-Scale Analytics: A Machine Learning Approach to Assess Pre-Exposure Prophylaxis (PrEP) Utilization in the Real-World (Nag Mani)
Thursday — Validation and Comparison of Frailty Indexes: An OHDSI Network Study (Chen Yanover)
Friday — Broadsea 3.0: “BROADening the ohdSEA” (Ajit Londhe)
Job Openings
• Dani Prieto-Alhambra recently shared an opening for two Research Assistants in Health Data Sciences to join the Pharmaco- and Device epidemiology research group at the Botnar Research Centre, NDORMS, University of Oxford. In this role, you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyze real world data to address regulatory questions related to the prevalence/incidence of disease, use of medicines/vaccines, and the risks or benefits of medicines/vaccines or devices. You will prepare analytical packages to run a number of pre-specified analyses, contribute to wider project planning, including ideas for new research projects and gather, analyze, and present scientific data from a variety of sources. The application deadline is May 10. More information and an application link are available here.
• Alex Asiimwe shared an opening for a Director, RWE – Data Science at Gilead. As a RWE Data Scientist (OMOP/OHDSI), you will play a crucial role in designing, implementing, and maintaining healthcare data solutions using the OHDSI framework. This position offers an exciting opportunity to contribute to advancements in health informatics and research.
• Linying Zhang shared openings for both a Postdoc and a Senior Data Analyst at the Washington University School of Medicine in St. Louis. Successful candidates will work on causal machine learning and responsible AI for reliable real-world evidence generation. Interested applicants should send a CV and cover letter to linyingz@wustl.edu.
Slides
CDM Process | Themis Process | Community Updates
Video Presentation
