May 7, 2024
The May 7 community call featured a review of DevCon 2024, which served 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.
This session included several speakers and topics from the event, including:
• Paul Nagy, Johns Hopkins University (Open-Source Overview)
• Vishnu Chandrabalan, Lancaster University (OHDSI/OMOP – The hard way is the easy way)
• Roger Carlson, Spectrum Health (Moving OMOP to the Cloud with DBT and Snowflake)
• Lee Evans, LTS Computing LLC (Broadsea Update)
• Frank DeFalco, Janssen Research & Development (Technical Advisory Board (TAB) Update)
• Katy Sadowski, Boehringer Ingelheim (Kheiron Cohort Update)
This presentation is posted below. All recordings from the full DevCon 2024 session are available on the event homepage.
Community Updates
• Congratulations to the team of William G. Adams, Sarah Gasman, Ariel L. Beccia and Liza Fuentes on the publication of The Health Equity Explorer: An open-source resource for distributed health equity visualization and research across common data models in the Journal of Clinical and Translational Science.
• Congratulations to the team of Nhung TH Trinh, Annika M Jödicke, Martí Català, Núria Mercadé-Besora, Saeed Hayati, Angela Lupattelli, Daniel Prieto-Alhambra, and Hedvig ME Nordeng on the publication of Effectiveness of COVID-19 vaccines to prevent long COVID: data from Norway in The Lancet Respiratory Medicine.
• The latest edition of the OHDSI newsletter is now available, and it includes reflections on both the April Olympians and DevCon events, community updates, a collaborator showcase, publications and presentations from April, and plenty more. If you don’t receive the newsletter in your email, you can subscribe here.
• Montse Camprubi works at Synapse Research Management Partners. Currently the EHDEN community manager, she is leading the central coordination efforts between EHDEN Data Partners and certified SMES and EHDEN experts. In the latest edition of the collaborator spotlight, Montse discusses her background and career journey, recent highlights and future plans in EHDEN, the upcoming OHDSI Europe Symposium, and plenty more.
• Applications are being accepted to join the 2024-25 Kheiron Cohort. This program is designed to onboard new contributors into OHDSI to empower them to become active contributors and maintainers. The goals are to provide career development, create a global perspective of the ecosystem, build cross-connections between projects and develop future leaders for OHDSI. You can apply for the upcoming cohort now!
• 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 22, 2024.
• Marissa Fiorella shared a forum post highlighting the upcoming Symposium on Risks and Opportunities of Artificial Intelligence in Pharmaceutical Medicine (AIPM), which will be held June 10-11 at Northeastern University, and will also have a Zoom option. Some OHDSI collaborators who are either speaking or helping organize the event are David Madigan, Asieh Golozar, David Sontag, Louisa Smith, and Marc Suchard. More details and registration information are available here.
• 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 Hripcsakwill 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.
• Registration is 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 — Jackalope Plus: AI-Enhanced Solution for Mapping Unmappable Concepts (Denys Kaduk)
Tuesday — Framework and Implementation of an OMOP-Oriented Clinical Data Warehouse Using Databricks (Jared Houghtaling)
Wednesday — Mother-Infant Linked Data: Methodology, Case Studies, and Cohort Development for Investigating Prenatal Exposure and Neonatal Outcomes (Jill Hardin)
Thursday — Integrating ATLAS Cohorts with DICOM Images and ECG Waveforms to Enrich Real-World Evidence Research (Boudewijn Aasman)
Friday — Real-world Effectiveness of BNT162b2 in Children and Adolescents in Preventing Infection and Severe Diseases with SARS-CoV-2 During the Delta and Omicron Periods (Qiong Wu)
Job Openings
• Ross Williams shared that the Erasmus MC Department of Medical Informatics is looking for a PhD student to work on cutting-edge health AI and data science topics. This person will be responsible for the research on using federated data networks to improve best practices around the development and validation of prediction models. You will lead and contribute to projects conducting methodological research within the field of machine learning in healthcare. More information and the application link are available here. The application deadline is May 13.
• Aki Nishimura announced that Johns Hopkins University is seeking postdoctoral fellows. The fellows would work on methodological research in pharmaco-epidemiology to address medication and device utilization, effectiveness, and safety relevant to health, lung, and blood diseases. More information and application details are available here. If you are interested in having Aki Nishimura as a co-advisor, please include him on your application email at aki.nishimura@jhu.edu.
• 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.
Slides
DevCon Overview | Presentations: Chandrabalan / Carlson | Community Updates
