PLEASE NOTE THAT ALL WORKSHOPS ARE FULL AND REGISTRATION IS CLOSED.
YOU MAY EMAIL US AT SYMPOSIUM@OHDSI.ORG IF YOU WISH TO BE PLACED ON A WAITING LIST.
This year we will be offering tutorial workshops that will take place on October 19-20th, 2017 at the Bethesda North Marriott Hotel and Conference Center. Tutorial attendance is limited and you will be notified by September 7th, 2017 if you have been accepted into the workshop. You may register for one or two workshops, one on each day.
For workshops 2-4, you must have the prerequisites listed in order to register for the workshop. Below are the course prerequisites that will help you determine if you are a good fit for the course:
THE FOLLOWING ARE THE (4) FULL-DAY WORKSHOPS BEING OFFERED THIS YEAR:
TUTORIAL WORKSHOP #1
Topic: OMOP Common Data Model and Standardized Vocabularies
Faculty: George Hripcsak, Christian Reich, Erica Voss, Karthik Natarajan, Mark Velez, Mui Van Zandt, Rimma Belenkaya
Faculty: Don O’Hara, Michael Goodman, Gowtham Rao, Dmytry Dymshyts, Don Torok, Clair Blacketer
Target Audience: Data holders who want to apply OHDSI’s data standards to their own observational datasets and researchers who want to be aware of OHDSI’s data standards so they can leverage data in OMOP CDM format for their own research purposes.
Prerequisites: NoneDate: October 19th, 2017
TUTORIAL WORKSHOP #2
Topic: Population-Level Estimation
Faculty: Patrick Ryan, Marc Suchard, Martijn Schuemie, Christophe Lambert
Target Audience: Researchers who want to design estimation studies for safety surveillance and comparative effectiveness using the OHDSI tools and programmers who want to implement and execute estimation studies using the OHDSI methods library
Prerequisites: Knowledge of OMOP CDM and Vocabularies and either epidemiologic knowledge, understanding of how to define cohorts or R programming skillsDate: October 19th, 2017
TUTORIAL WORKSHOP #3
Topic: OHDSI Development Architecture
Faculty: Frank DeFalco, Sigfried Gold, Gregory Klebanov, Lee Evans
Target Audience: Software developers who want to contribute to open-source analytics development to enhance OHDSI’s mission
Prerequisites: Knowledge of OMOP CDM and Vocabularies; Web-programming skillsDate: October 20th, 2017
Topic: Patient-Level Prediction
Faculty: Peter Rijnbeek, Jenna Reps, Joel Swerdel
Target Audience: Researchers who want to design prediction studies for precision medicine and disease interception using the OHDSI tools and programmers who want to implement and execute prediction studies using the OHDSI methods library.
Prerequisites: Knowledge of OMOP CDM and Vocabularies and either epidemiologic knowledge, understanding of how to define cohorts or R programming skillsDate: October 20th, 2017