WEEKLY COMMUNITY CALL MEETING
Please join us Tuesday, July 9 (11 am ET), for our first of four summer sessions focused on Building the OHDSI Evidence Network, which consists of organizations equipped with access to one or more databases standardized to the OMOP CDM who express a keen interest in participating in OHDSI network studies. Patrick Ryan will lead this initial session to highlight impacts the OHDSI Evidence Network can make for global research, and how we might be able to build the network together.
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 Jason Patterson and Nicholas Tatonetti on the publication of KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy in JAMIA.
Congratulations to the team of Yong Shang, Yu Tian, Kewei Lyu, Tianshu Zhou, Ping Zhang, Jianghua Chen, and Jingsong Li on the publication of Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study in the Journal of Medical Internet Research.
OHDSI UPDATES
The fifth European OHDSI Symposium, titled “Scaling up Reliable Evidence Across Europe,” was held June 1-3 and brought together data partners, regulators, and researchers to collaborate and share results and ideas about the use of the OMOP-CDM in Europe. All materials from the session, including talks focused on the Selection of European Initiatives Using the OMOP CDM and Large Scale Evidence Generation in EHDEN and DARWIN EU®, as well as the collaborator showcase, can be found all on the event homepage.
• The next CBER BEST Seminar will be held Wed., July 17, at 11 am ET and will be led by Yonas Ghebremichael-Weldeselassie, Lecturer of Statistics at School of Mathematics and Statistics, The Open University, UK. The focus of this talk will be A modified self-controlled case series method for event-dependent exposures and high event-related mortality, with application to COVID-19 vaccine safety. You can access the session using this link.
• Sarah Seager is the Senior Director, Analytics & AI at IQVIA. She is an experienced technical senior leader who develops and leads analytical teams in the world of data science and advanced analytics. In the latest edition of the Collaborator Spotlight, Sarah shares her thoughts on the current path of data management and analytics, why OMOP is an ideal common data model, recent advances around the European community, and how data is similar to another one of Sarah’s passions, art.
• To carry out the OHDSI mission, we need an active and willing global network of data partners, and we need the ability to quickly identify those that might be the right fit for a specific clinical research question. Last year we piloted this effort through the Save our Sisyphus challenge and are now ready to move forward based on our learnings. The OHDSI Evidence Network workgroup is excited to initiate a network study that will describe the OHDSI Network in a publication, and will also create an open public resource designed to facilitate evidence generation faster and better than ever by building on methodologies developed by thought leaders around the world. You can access the protocol here, and you can learn more about this effort from a recent OHDSI Evidence Network update. Come join us on this exciting journey!
• The workshop on “AI for Reliable and Equitable Real-World Evidence Generation in Medicine” at the International Conference on Artificial Intelligence in Medicine (AIME) will take place on July 9, 2024 at Salt Lake City, Utah. 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. Speakers and panelists from informatics, biostatistics, computer science, and related fields across academic institutions, federal agencies, and healthcare providers will be joining us for the workshop.
OHDSI Social Showcase
• Research from the 2024 Europe Symposium Collaborator Showcase 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 — Additional technical data protection measures to improve the security of an OMOP/OHDSI infrastructure (Francesco Pozzoni)
Tuesday — Forecasting the prescription rates of antibiotics in the UK between 2013 to 2023 incorporating the impact of COVID-19 (Yuchen Guo)
Wednesday — Challenges in harmonising data across multiple biobanks (Karyn Mégy)
Thursday — Predicting long term cancer survival for Health Technology Assessment: A multinational cohort study across Europe (Jeremy Dietz)
Friday — CDM Onboarding R package for data quality assessment (Anne van Winzum)
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.
Book Your Hotel Sleeping room OHDSI Symposium (hyatt.com)
Share in Collaboration for Tuesday, Oct. 22 by filling out this form
JOB OPENINGS
• Ross Williams announced an opening for a Health Data Scientist at Erasmus MC. The candidate will be responsible for the creation and execution of study software to support the work of epidemiologists. This will include designing, developing, documenting, and maintaining R code that will be executed against health data that is standardized to the OMOP Common Data Model. More information and an application link are available here.
• Ajit Londhe announced an opening for a Senior Associate Director, Real World Evidence and Analytics at Boehringer Ingelheim. The candidate for this remote position will have the opportunity to generate real world evidence (RWE) to support in-line and pipeline products, provide statistical advice on the analysis of real world data (RWD) to various internal and external stakeholders, contribute to the RWD acquisition strategy and tool evaluation, and participate in the development and presentation of RWE trainings. More information and an application link are available here.
• Kevin Haynes shared an opening at CVS Health for a Lead Director, RWE Distributed Research. This position will lead a team of Analytic professionals responsible for transformation of healthcare insurance and pharmacy data into distributed analytic models, including OMOP, used in safety surveillance and collaborative research (SS&C). More information and an application link is available here.
• 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.
OHDSI MSTEAMS
Accessing MSTeams: To join OHDSI Teams, please fill out this form: Join OHDSI Teams
If you are already in the OHDSI Teams environment and you would like to join work groups in teams, please fill out this form: Join Workgroups, Chapters, and Studies
Duplicate email removal from OHDSI Teams: As you should always be using one email in OHDSI Teams when joining all workgroups, you may remove duplicate emails by filling out this form
To unsubscribe from Teams, please fill out this form
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
