OHDSI MEETINGS THIS WEEK
OHDSI Community Call – Tuesday at 12pm ET
US TOLL: +1-415-655-0001
Meeting Number: 199 982 907
Population-Level Estimation (Eastern hemisphere) workgroup meeting – Wednesday at 3pm Hong Kong time
Architecture Working Group – Thursday at 10am ET
GIS working group meeting – Next Monday (May 21st) at 10am ET
Meeting Number: 735 317 239
OHDSI Europe – Videos from the 2018 OHDSI European Symposium are officially online:
- European Symposium: https://www.youtube.com/watch?v=qULDL9CgWwA&feature=youtu.be
- OMOP-CDM and Standardized Vocabularies Tutorial
- OHDSI Tool Ecosystem –
F2F Materials – All Materials from the 2018 OHDSI F2F, including slides, meeting notes, the study protocol and photos have been uploaded here: https://www.ohdsi.org/past-events/
2018 OHDSI Symposium – DATES CHANGED!
We recently discovered that the initial dates of the 2018 OHDSI Symposium (September 17-19th) fall over Yom Kippur. We always try to avoid major holidays to ensure everyone is able to attend, therefore we’ve decided to move the symposium to October 11-13th.
The main symposium will take place on Friday, October 12th and we’ll be holding tutorials before and after the symposium on October 11th and 13th.
2018 OHDSI Symposium – CALL FOR PARTICIPATION
Our call for participation for this year’s collaborator showcase will be opening this week! We’ll be inviting collaborators to submit abstracts to present posters, software demonstration or oral presentations during the collaborator showcase which will take place during the main symposium on Friday, October 12th. More details are available here: https://www.ohdsi.org/collaborator-showcase/
You can’t climb the ladder of success with your hands in your pockets.
– Arnold Schwarzenegger
Modeling recovery curves with application to prostatectomy.
Bleeding events attributable to concurrent use of warfarin and other medications in high-risk elderly: meta-analysis and Italian population-based investigation.
Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature.