TUESDAY, SEPTEMBER 17 - TUTORIAL WORKSHOPS

If you need additional information, you may contact us atsymposium@ohdsi.org.

Observational Health Data Sciences & Informatics

There will be (6) full-day tutorial workshops offered this year at the 2019 OHDSI Symposium in Bethesda, MD; (2) workshops will be offered on Sunday, September 15 and (4) workshops will be offered on Tuesday, September 17. All workshops will begin at 9am and end at 5pm with registration taking place at 8am. You may sign up for one course on each day.
Please note that Symposium Registration and Tutorial Workshop Registration are separate. You are not registered for the main symposium if you only register for a tutorial and you are not registered for a tutorial if you have only registered for the symposium. If you have not yet registered for the Symposium on Monday, September 16, please click on the following link: <A HREF="https://www.eventbrite.com/e/2019-ohdsi-symposium-registration-59264677245" TARGET="_blank">2019 Symposium Registration </A>
On Tuesday, Sept. 17, the registration contribution per course is $300. If you have a hardship and cannot pay this fee, please email us at <A HREF="mailto:symposium@ohdsi.org" TARGET="_blank" REL="nofollow noopener noreferrer">symposium@ohdsi.org</A>. This contribution is not refundable; however, if you cannot attend the workshop, you may send a colleague in your place. You may log on to your eventbrite account and name change your tutorial workshop ticket at any time.
You will get an eventbrite confirmation email with your tutorial workshop ticket upon completion of tutorial registration. Please present your tutorial workshop ticket at registration at 8am on Tuesday, September 17.
Prior to the course, you may be sent assignments, agendas and/or emails from faculty.
For updates prior to the course, please visit the tutorial workshop page on the OHDSI website <A HREF="https://www.ohdsi.org/tutorial-workshops-2/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Tutorial Workshop Page</A>
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THE (4) COURSES BEING OFFERED ON TUESDAY, SEPTEMBER 17 ARE:
1) PATIENT-LEVEL PREDICTION (PLP)
This workshop is for 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.
Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.
Faculty: Peter Rijnbeek, Jenna Reps, Ross Williams
Room: Forest Glen
 
2) POPULATION-LEVEL ESTIMATION (PLE)
This workshop is for researchers who want to design and execute causal effect estimation studies for safety surveillance and comparative effectiveness using the OHDSI tools. The focus will be on the new-user comparative cohort design using propensity scores.
Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.
Faculty: Martijn Schuemie, Patrick Ryan, James Weaver, Alex Rekkas
Room: Glen Echo
 
3) DATA QUALITY
Participants will learn how to understand and use three freely available sets of tools that assess the quality of OMOP v5 data. A conceptual framework for data quality will be presented, followed by hands-on instruction for installing and running all three sets of tools: Achilles Heel; PEDSnet DQA Toolkit; and DQe-c, DQe-v and automated outlier detection. The class will involve running these tools against a real dataset.
Course prerequisites: Participants should know the domains and vocabularies in the OMOP CDM, understand its person-level organization, the way concepts and concept relationships are used to represent local codes in a standardized fashion.  Participants should also have at least beginner level R and SQL programming skills.
Faculty: Andrew Williams, Vojtech Huser, Ajit Londhe, Hanieh Razzaghi, Connor Callahan, Tim Bergquist
Room: White Oak A
 
4) EXTRACTION, TRANSFORMATION, AND LOAD PROCESS (ETL)
Learn about best practices and OHDSI tools developed to help with designing an extract, transform, & load process to take your database from raw observational data to the OMOP Common Data Model.
Target Audience: Data holders, researchers, and regulators who want to learn more about the Extraction, Transformation, and Load process.
Course prerequisites: knowledge of OMOP CDM & Vocabulary Tutorial or working experience with the OMOP CDM and OMOP Vocabulary.
Faculty: Clair Blacketer, Erica Voss
Room: Linden Oak
 
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Bethesda North Marriott Hotel & Conference Center

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TUESDAY, SEPTEMBER 17 - TUTORIAL WORKSHOPS

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