Tutorial: Developing and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP CDM

Tutorial: Developing and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP CDM (2024 Global Symposium)

Description: The OMOP Common Data Model (CDM) has become one of the most widely used international health data standards. Standardizing data to the OMOP CDM requires development of an extract, transform, load (ETL) procedure that converts source data into the CDM structure while observing the appropriate conventions and adhering to the OHDSI standardized vocabularies. The OHDSI community maintains and provides resources for the OMOP CDM standard, Standardized Vocabularies, and THEMIS ETL conventions, and has developed a series of open-source analytic tools to support both ETL development and evaluation (including WhiteRabbit, CDMInspection, and DataQualityDashboard).

In this tutorial, students will learn about the tools and practices developed by the OHDSI community to support the journey to establish and maintain an ETL to standardize your data to OMOP CDM and enable standardized evidence generation across a data network.

Faculty:
Clair Blacketer, Janssen Research & Development
Evannette Burrows, Janssen Research & Development
Melanie Philofsky, Odysseus Data Services, Inc.
Katy Sadowski, Boehringer Ingelheim

Please visit the event homepage for all videos, slides, posters and demos from the 2024 Global Symposium: https://ohdsi.org/ohdsi2024.

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