WEEKLY COMMUNITY CALL MEETING

Please join our April 23 (11 am ET) community call for a session focused on the CDM and Themis Process, as well as our fourth update on the April Olympians community activity. This call will provide information about both the CDM and Themis workgroups, including their mission and processes. This call will be led 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.

Everybody is invited. Calendar invites went out last week. If you did not receive one, please use this link to join the meeting. All recordings from these weekly calls are available within our Teams environment and will be posted on both our YouTube page and our OHDSI.org Community Calls page.

WEEKLY WORKING GROUP MEETINGS

Upcoming Workgroup Calls – OHDSI

OHDSI SHOUTOUTS

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.

OHDSI UPDATES

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 Friday, April 26, from 9 am-3 pm in the MS Teams environment. This event serves as an opportunity to connect our global open-source community and discuss ways we can collaborate and continue enhancing the future of OHDSI open-source software. The morning will include a series of lightning talks from a developers’ panel, as well as a full session from Adam Black with development updates from the DARWIN EU® initiative (see graphic to the right). The afternoon agenda will include a series of updates on the OHDSI open-source ecosystem, as well as presentations around a tool for machine learning for healthcare data mapping and management, and knowledge graphs using two tools with example applications in drug surveillance and computational phenotyping. There will also be updates about our current students in the Kheiron Cohort, an update from technology board, and a look at a couple exciting OHDSI sandbox projects.

• Linying Zhang is organizing a workshop on “AI for Reliable and Equitable Real-World Evidence Generation in Medicine” at the 22nd International Conference on Artificial Intelligence in Medicine (AIME), happening at Salt Lake City, Utah, on July 9-12, 2024. The workshop focuses on advancing the understanding and exploring the transformative role of artificial intelligence (AI) in analyzing real-world data (RWD) for real-world evidence (RWE) generation. George Hripcsak will be delivering the opening keynote speech. The workshop will also feature scientific presentations from authors with accepted papers or abstracts, and potentially a panel or debate. The intended length is 4 hours. We are calling for submissions of full papers, short papers, and poster abstracts! The submission deadline is May 31, 2024. More information is available on the workshop or AIME Conference homepages.

• Atif Adam announced an opportunity for collaboration around a new network study focusing on Acute ST-Elevation Myocardial Infarction (STEMI). The study intends to deepen the understanding of STEMI patients’ characteristics and identify incidence rates across multiple real-world data datasets. More details and information on how to get involved are available within the forum post.

• 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)

OHDSI SYMPOSIA

The 2024 OHDSI Global Symposium will be held Oct. 22-24 at the Hyatt Regency Hotel in New Brunswick, NJ. The symposium format will feature tutorials on Oct. 22, plenaries and the collaborator showcase on Oct. 23, and workgroup activities on Oct. 24. Registration opens tomorrow, April 22!

• 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.

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.

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Please continue to collaborate in our MS Teams environment, check out the OHDSI website and forums , and follow us on all platforms, including Twitter and LinkedIn to get continued updates and information on everything happening in our community