Year Published: 2019

Time to Complete: 4.5 hours

Course Type: Self-paced Online

Instructor: Christian Reich, MD, PhD

Learning Level: Fundamental

Primary Audience: Investigators (PI, Co-PI, Co-I), Data Managers

Prerequisite: Experience using basics of R and electronic health records for observational data

Course Collection(s): Data Science and Informatics


What is the OMOP Common Data Model (CDM)?

This recorded lecture was presented as part of The Odyssey of OHDSI: Using Health Care Data for Research. You will learn how data are represented by vocabularies in the OMOP CDM and how to use the ATLAS toolset to define cohorts. Presented by Christian Reich, MD, PhD, Real World Analytics Solutions, IQVIA.

Learning Objectives

After completing this course, you will be able to:

  • Relate key OMOP CDM and vocabulary principles to PHDSI’s standardization process.
  • Define cohorts, conduct cohort studies, or develop patient-level prediction models using OHDSI tools.
  • Identify and access educational and other resources needed to become more fully proficient at using these tools in your research work.
  • Navigate OMOP CDM and vocabularies to define populations and outcomes.
  • Discuss the structure of the OMOP CDM and how the OHDSI community uses it to support observational research.

Available courses

Date Location Type Price
2024 Course: Open January 1 through December 31 Online Self-paced course This Course is Free