OHDSI MEETINGS THIS WEEK
OHDSI Community Call – Tuesday at 12pm ET
https://meetings.webex.com/collabs/#/meetings/detail?uuid=M59X2V1U61WC9ASID2Z5N3UT95-D1JL&rnd=811649.98682
US TOLL: +1-415-655-0001
Meeting Number: 199 982 907
NLP working group meeting – Wednesday at 2pm ET
Dial +1 (571) 317-3122 (United States)
Enter conference ID: 707-196-421
Screen Sharing: https://global.gotomeeting.com/join/707196421
Population-Level Estimation (Eastern hemisphere) workgroup meeting – Wednesday at 3pm Hong Kong time
https://meetings.webex.com/collabs/#/meetings/detail?uuid=M6WE9AOKFETH2VEFPVCZWWBIT0-D1JL&rnd=345959.95335
Patient-level prediction (Western hemisphere) WG meeting – Wednesday at 12pm ET
https://global.gotomeeting.com/join/9729176611
Architecture WG meeting – Thursday at 1pm ET
Webex: https://jjconferencing.webex.com/mw3000/mywebex/default.do?service=1&main_url=%2Fmc3000%2Fe.do%3Fsiteurl%3Djjconferencing%26AT%3DMI%26EventID%3D283835502%26MTID%3Dmb7e839a762fbdaab0608f27500679223%26Host%3DQUhTSwAAAASTOYBxx2KWYTIL7ZSgHgHJoIHctjgxp8k5mgqAEPo2a1ESa12-8hjAVWbZznuDt96ugkT31G8sY5iSWLRwSwhI0%26FrameSet%3D2&siteurl=jjconferencing&nomenu=true
ANNOUNCEMENTS
OHDSI in China – The China WG will be meeting on August 21st in Hangzhou, China (during MedInfo). More details: http://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:china-wg
2017 OHDSI Symposium Registration – Registration for the 2017 OHDSI symposium is now open! Please register here: https://www.ohdsi.org/symposium-registration/
PLEASE NOTE: Registration is for the main symposium only (set to take place on October 18th). Registration for tutorials (set to take place on October 19-20th) is separate.
2017 OHDSI Tutorials Registration – Registration for OHDSI tutorials is now open! Information about each tutorial, including topics covered, faculty and prerequisites can be found here: https://www.ohdsi.org/about-event-tutorials/
Register here: https://www.ohdsi.org/tutorial-registration/
2017 OHDSI Symposium Accommodation – This year’s symposium will take place at the Bethesda North Marriott, just outside Washington DC. If you’d like to stay at the Marriott during the symposium we suggest booking your stay as soon as possible. October is a busy month in DC.
http://www.marriott.com/hotels/travel/wasbn-bethesda-north-marriott-hotel-and-conference-center/
Possible discounted rate: For details about getting a lower room rate at the Marriott, check out Kristin Feeney’s forum post: http://forums.ohdsi.org/t/2017-ohdsi-symposium-resources-for-hotel-bookings/3040
Call for Sponsorship – We’re almost at our goal of $200K to fund this year’s symposium! So far we’ve raised $150K of the funds needed to cover operating costs of venue rental, lunch, audio/visuals and recordings fees. We’re still looking for sponsors to support this important event. If you’re interested in sponsorship check out our forum post for more details: http://forums.ohdsi.org/t/ohdsi-symposium-2017-call-for-sponsorship/2730?u=maurabeaton
Updating OHDSI.org – Over the next couple months we’ll be updating collaborator profiles and our data network list. If you have updates you’d like made to your OHDSI profile, or have updated information about your database, please email beaton@ohdsi.org with the changes.
The best thing to hold onto in life is each other.
– Audrey Hepburn
COMMUNITY PUBLICATIONS
A Systems-Level Approach to Understand The Seasonal Factors Of Early Development With Clinical and Pharmacological Applications
https://academiccommons.columbia.edu/catalog/ac:34tmpg4f57
An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0.
https://www.ncbi.nlm.nih.gov/pubmed/28776047
Treatment of Medication-Related Osteonecrosis of the Jaw and its Impact on a Patient’s Quality of Life: A Single-Center, 10-Year Experience from Southern Italy.
https://www.ncbi.nlm.nih.gov/pubmed/28766109
Enabling Open Science for Health Research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO).
https://www.ncbi.nlm.nih.gov/pubmed/28760728
Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.
https://www.ncbi.nlm.nih.gov/pubmed/27598694
