Data Quality

Faculty:
Andrew Williams, Michael Kahn, Vojtech Huser, Hossein Estiri, Hanieh Razzaghi, Connor Callahan, Tim Bergquist, Robert Miller

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.

Videos

COMING SOON

Materials

Agenda
Tutorial Slides
Links to ATLAS and R Studio
Rules for Tools

Sponsors
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Other Tutorials
OMOP Common Data Model and Standardized Vocabularies
Overview of the OHDSI Analysis Ecosystem
Population-Level Estimation
Patient-Level Prediction
Cohort Definition/Phenotyping