Weekly OHDSI Digest – January 22, 2024

WEEKLY COMMUNITY CALL MEETING

Please join us Tuesday, July 23 (11 am ET), for our second session around Building the OHDSI Evidence Network. Clair Blacketer and Paul Nagy will lead this meeting, which will include a technical description of what it takes to join the Evidence Network, a live demo, suggestions to support the IRB process, and plenty more.

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 Tom Seinen, Jan Kors, Erik van Mulligen, and Peter Rijnbeek on the publication of Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools in JAMIA.

• Congratulations to the team of Hyerim Ji, Seok Kim, Leonard Sunwoo, Sowon Jang, Ho-Young Lee, and Sooyoung Yoo on the publication of Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension in JMIR Medical Informatics.

OHDSI UPDATES

The Eye Care & Vision Research workgroup is leading a Semaglutide NAION network study based on last week’s OHDSI Evidence Network presentation. Please join tomorrow’s community call to hear more about this during the updates section.

• The next CBER BEST Seminar will be held this Wednesday, 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.

• 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.

• 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.

• Research from the 2024 Europe Symposium Collaborator Showcase is also being shared daily on OHDSI’s LinkedInTwitter/X and Instagram feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:

OHDSI Social Showcase

Monday — External Validation of the Revised Cardiac Risk Index (RCRI) Clinical Prediction Model in Observational Health Care Databases (Alexander Saelmans)

Tuesday — Conversion of the Papageorgiou General Hospital EHR to the OMOP Common Data Model (Papapostolou Grigoris)

Wednesday — Automated OMOP-CDM pipeline for the new EBMT Registry (Shirah Cashriel)

Thursday — Incorporating Temporal Information from EHR Data in Clinical Prediction Modelling (Estelle Lampel)

Friday — Defining international approaches for the detection of emergent metastasis and the classification of location of metastasis from hospital EHR (Stelios Theophanous)

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 OHDSIDeveloping and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP Common Data ModelSo, 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.

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