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 courses will begin at 9am and end at 5pm with registration (outside the rooms) at 8am. In addition, a buffet lunch will be served each day. 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 symposium if you only register for a tutorial and you are not registered for a tutorial if you have only registered for the symposium.
The tutorial workshops offered this year have tutorial registration contributions. These contributions will be used to offset all the costs associated with organizing OHDSI’s tutorial workshops such as: meeting-room rentals, food & beverage, wi-fi and internet connections, electrical, audio/visual arrangements and professional recording fees. If you cannot financially contribute to attend these courses, please email us at symposium@ohdsi.org. These contributions are not refundable; however, if you cannot attend, you may send a colleague in your place.
There are (2) tutorial workshops that will take place on Sunday, September 15, 2019. The registration contribution per course is $100. If you have a hardship and cannot pay this contribution, please email us at symposium@ohdsi.org.
The (2) courses on Sunday, September 15 are:
1) OMOP COMMON DATA MODEL & STANDARDIZED VOCABULARIES
THIS COURSE IS NOW FULL. TO FILL OUT A WAIT-LIST FORM, YOU MAY FILL OUT THE FORM ON THE TUTORIAL REGISTRATION PAGE Tutorial Registration Page
This workshop is for 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: None
Faculty: Christian Reich, Mui Van Zandt, Hamed Abedtash, Melanie Philofsky, Don Torok, Dmytry Dymshyts
Room: Forest Glen (lower level)
2) COHORT DEFINITION/PHENOTYPING
This workshop is to develop better approaches for designing, implementing, evaluating, and disseminating phenotypes. The learning objectives and technical competencies are:
• Learn principles for cohort definition and evaluation
• Develop rule-based heuristics in ATLAS
• Apply cohort definitions to analytical use cases of: disease phenotyping, exposure definition, cohort characterization, effect estimation and patient level prediction.
Prerequisites: None (knowledge of OMOP CDM & Standardized Vocabularies is recommended)
Faculty: Patrick Ryan, Chris Knoll, Joel Swerdel, Cong Liu
Room: Brookside AB (lower level)
Presentations: Criteria2Query // Design, implementation and evaluation // PheValuator
There are (4) tutorial workshops that will take place on Tuesday, September 17, 2019. The registration contribution per course is $300. If you have a hardship and cannot pay this contribution, please email us at symposium@ohdsi.org.
The (4) courses 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 (lower level)
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 (lower level)
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 (lower level)
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 (lower level)
Participants are encouraged to watch these tutorials from last year in preparation for the tutorials:
2018 OMOP CDM & STANDARDIZED VOCABULARIES COURSE VIDEO
2018 COHORT DEFINITION/PHENOTYPING COURSE VIDEO
