WEEKLY COMMUNITY CALL MEETING
Please join our Nov. 21 Community Call (11 am ET) , as we will present some of the software demos from the 2023 Global Symposium. Some of the demos and presenters are listed below:
• Leveraging the OMOP Common Data Model to Support Distributed Health Equity Research — Sarah Gasman (Senior Data Analyst • Boston Medical Center)
• Integrating ATLAS Cohorts with DICOM Images and ECG Waveforms to Enrich Real-World Evidence Research — Boudewijn Aasman (Senior Data Science Engineer • Montefiore Medical Center)
• Introducing KOIOS: removing impediments in genomic variant identification and mapping — Laurence Lawrence-Archer (Data Scientist • Odysseus Data Services)
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 (Please check the schedules with the meeting organizers due to the Thanksgiving holiday)
Upcoming Workgroup Calls – OHDSI
OHDSI UPDATES
Community Updates
• The 2023 Global Symposium home page has posted the video presentations and slides for all of the Friday talks, as well as the “Introduction to OHDSI” tutorial from Saturday morning. All posters from the collaborator showcase are also available. Please check out this page for all material related to the event.
• The latest edition of the Our Journey annual report was shared at the Global Symposium, but there is a digital version that you can access on the OHDSI website.
• 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 — Conversion of the Canadian Observational Study on Epilepsy (CANOE) REDCap Registry to the OMOP Common Data Model (Danielle Boyce)
Tuesday — Streamlining Cytogenetic Data Processing with ISCN Parsing and OMOP (Ben Smith)
Wednesday – An initial investigation into more complex stacking methods to improve transportability of prediction models developed across multiple databases (Cynthia Yang)
Thursday – Developing a Personalized Clinical Decision Support System for Statin Therapy for Primary Prevention using OMOP-CDM and Deep Learning Techniques (Su Min Kim)
Friday – Prediction of Hospital Length of Stay for Planned Admissions Using OMOP CDM (Haeun Lee)
Job Openings
• Stephanie Leonard shared an opening at Stanford University for a postdoctoral scholar in perinatal pharmacoepidemiology. The scholar will work closely with faculty members with expertise in epidemiology, medical informatics, and clinical medicine on NIH-funded research projects on the comparative safety and effectiveness of medications in pregnancy and related research topics. Our projects employ advanced analytical methods in large databases, including OHDSI network studies using claims data and electronic health record data in the OMOP CDM. Current topical focus areas include mental health, behavioral health and cardiovascular health of people who are pregnant or postpartum. Further details are available here: https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-brian-bateman 1. Please send any questions to Dr. Leonard at stephanie.leonard@stanford.edu. Details on postdoc resources at Stanford: https://postdocs.stanford.edu/.
• Ajit Londhe recently posted that Boehringer Ingelheim is hiring for two positions: (1) Director, Real World Data & Analytics – Data Domain Owner (this position will lead acquisition strategy for real-world data sources for possible in-license/ purchase and additional analytical tools for in-house analytic needs across the organization … responsible for oversight of operational governance tasks & real-world data life cycle governance … US-based, remote location); and (2) Real World Evidence Data Engineer (IT position supporting RWE teams’ technology needs, including OHDSI stack support … based in Spain only).
• Yuan Lu, Assistant Professor at Yale University, announced an opening for a Postdoctoral Associate/Data Analyst at the Yale University School of Medicine. This person will work on the LEGEND Hypertension Project. More information, including job description, key responsibilities and qualifications, are available here. If interested, please reach out to Dr. Lu at y.lu@yale.edu.
OHDSI MSTEAMS
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OHDSI-MICROSOFT-TEAMS-BEST-PRACTICES-1.pdf
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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
