OHDSI Home | Forums | Wiki | Github

Weekly OHDSI Digest - October 28, 2024

WEEKLY COMMUNITY CALL MEETING

Please join us Tuesday, Oct. 29 (11 am ET) for our annual post-symposium “Welcome to OHDSI” community call. We were thrilled to see so many new collaborators experiencing their first symposium, and we want to share how they can move forward in the OHDSI community. This call can benefit both newcomers and veterans in OHDSI.

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 Richard Hum, Jennifer CE. Lane, Gongliang Zhang, Ruud Selles, and Aviram M. Giladi on the recent publication of Observational Health Data Science and Informatics and Hand Surgery Research: Past, Present, and Future in The Journal of Hand Surgery.

• Congratulations to the team of George Corby, Nicola Barclay, Eng Hooi Tan, Edward Burn, Antonella Delmestri, Talita Duarte-Salles, Asieh Golozar, Wai Yi Man, Ilona Tietzova, Daniel Prieto-Alhambra, and Danielle Newby on the recent publication of Incidence, prevalence, and survival of lung cancer in the United Kingdom from 2000–2021: a population-based cohort study in Translational Lung Cancer Research.

• Congratulations to the team of Sung Hwan Joo, Seungwon Yang, Suhyun Lee, Seok Jun Park, Taemin Park, Sang Youl Rhee, Jae Myung Cha, Sandy Jeong Rhie, Hyeon Seok Hwang, Yang Gyun Kim, and Eun Kyoung Chung on the publication of Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model in Pharmaceuticals.

• Congratulations to the team of Bylhah Mugotitsa, Tathagata Bhattacharjee, Michael Ochola, Dorothy Mailosi, David Amadi, Pauline Andeso, Joseph Kuria, Reinpeter Momanyi, Evans Omondi, Dan Kajungu, Jim Todd, Agnes Kiragga, and Jay Greenfield on the recent publication of Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub in Frontiers in Big Data.

OHDSI UPDATES

Thank you to everybody who joined us last week at the 2024 OHDSI Global Symposium. It was our most well-attended in-person event since OHDSI began more than a decade ago. Videos and slides from the event will be posted on the symposium homepage when available; you can already look at the 136 posters and software demos from our collaborator showcase!

• Congratulations to our 2024 Titan Award winners, as announced during the Global Symposium!

Data Standards: Vocabulary Team (Alexander Davydov, Vlad Korsik, Anna Ostropolets, Oleg Zhuk)

Methodological Research: Linying Zhang

Open-Source Development: Martin Lavallee

Clinical Applications: Cindy Cai, Jung Ho Kim, Jack Janetzki

Community Collaboration: Natthawut “Max” Adulyannukosol

Community Support: Montse Camprubí, Elisse Katzman

Community Leadership: Clair Blacketer

NEI Challenge

The National Eye Institute (NEI) Expand OHDSI Initiative for Eye Care and Ocular Imaging Challenge seeks innovative ideas to broaden the use of the Observational Health Data Sciences and Informatics (OHDSI) network for vision research, promoting the adoption of the OMOP Common Data Model. This challenge incentivizes researchers to develop novel approaches that enhance data quality and foster advancements in ophthalmology and optometry.

To support participants, the NEI is hosting an event, “Exploring Health Data Standards: Expanding the OHDSI Network for Vision Research,” on October 30, 2024, offering insights into the Challenge and OHDSI initiatives, and it will include talks from Cindy Cai, Michelle Hribar and Patrick Ryan. Additionally, NEI will hold two office hours for anyone with questions about the initiative:

The mandatory registration (intent to participate) is due by November 12, 2024. Entities must register their intent to participate by 11:59 PM Eastern Time on November 12, 2024 by submitting the Challenge Registration Formto neiodshi@nei.nih.gov. Entities who do not complete their registration by the deadline will not have their submissions considered for this Challenge. Each Participant Entity must designate a Point of Contact responsible for registering and submitting on behalf of the Entity and for all communications with the Challenge sponsors. Participants will also need to provide the name, affiliation, and contact information of all other individuals competing in this Challenge on behalf of an Entity. All such individuals must certify they have read and understand and agree to abide by the official eligibility criteria, participation rules, and requirements for the Challenge as stated in this announcement.

Don’t miss out on this opportunity to get support for integration into the network! Please direct any questions about this initiative to NEIODSHI@nei.nih.gov.

• The University of Nottingham is hosting a workshop on “How to be FAIR with Data Standards” Nov. 26-27 in the Nottingham Council House. More information, the two-day agenda and a registration link is available here.

• The 2024 OHDSI Asia-Pacific (APAC) Symposium will be held December 4-8 in Singapore. Regional co-chairs Mengling ‘Mornin’ Feng and Ngial Kee Yuan will lead this event, which has a theme of “When OHDSI Meets with AI.” Registration is now open!

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 — Harmonization of Biobanco-iMM Rheumatology Collection data to OMOP CDM (Catarina Tomé)

Tuesday — Leveraging FHIR for a generic EHR-to-OMOP ETL (Sebastiaan van Sandijk)

Wednesday — dsOMOP: Federated Analysis of Harmonized Clinical Data Combining OMOP CDM and DataSHIELD in a DATOS-CAT Cohort Use Case (David Sarrat-González)

Thursday — Cloud-based, Automated Solution for Transforming Clinical Datasets to the OMOP CDM (Simon Thompson)

Friday — no presentations today; the Global Symposium showcase will begin next week!

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

t