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 (Western hemisphere) workgroup meeting – Thursday at 12pm ET
Hadoop WG meeting – Friday at 11am ET
Call in Number: 1-646-838-2458
Attendee access code: 75630528
GIS working group meeting – Monday (March 5th) at 10am ET
Meeting Number: 735 317 239
2018 OHDSI Symposium – Collaborator showcase
Back by popular demand, the collaborator showcase will be part of the 2018 OHDSI Symposium, set to take place on September 18th at the Bethesda North Marriott! Once again we’ll be inviting collaborators to participate in the collaborator showcase by submitting abstracts to give poster presentations, software demonstrations or oral presentations. More details coming soon!
2018 OHDSI F2F: Sign-up for a spot now! https://www.ohdsi.org/events/2018-ohdsi-face-to-face/
PLEASE NOTE: Seating for this event is very limited and completion of the sign-up form does not guarantee you a spot at the meeting. Registration requests can be submitted until March 16th, after that date each request will be reviewed by the OHDSI leadership team and an email confirming attendance will be sent to selected participants on March 23rd. Also, this is a working meeting. All in attendance are expected to participate in discussions and contribute their knowledge and skills to each session they attend.
OHDSI China Hack-a-thon – SAVE THE DATE Mark your calendars! The OHDSI China Hack-a-thon is officially set to take place on May 18th – 20th in Shanghai. More details to be posted soon.
Giving back involves a certain amount of giving up.
– Colin Powell
Healthcare improvement measures in risk management and patient satisfaction.
Formalizing drug indications on the road to therapeutic intent.
Improvements scale-up and rapid response systems in the hospitals.
Evidence appraisal: a scoping review, conceptual framework, and research agenda.
A longitudinal analysis of data quality in a large pediatric data research network.
Precision Medicine at Georgia Tech: Introduction to the Health Data Analytics Platform
Inferring pregnancy episodes and outcomes within a network of observational databases