Intro to Electronic Health Record (EHR) Data | Workshop

Welcome to a deep dive into the electronic health record (EHR) data in the All of Us Researcher Workbench!
In this video, Cathy Shyr, Ph.D., a research fellow in the Department of Biomedical Informatics at the Vanderbilt University Medical Center, provides an in-depth workshop on EHR data and the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
This workshop includes self-guided exercises to help you understand how to work with OMOP tables, explore OMOP concepts, and build cohorts with EHR data for analysis.
During this workshop, you'll learn:
- About the OMOP Common Data Model
- How EHR data is curated and organized
- How to work with OMOP tables and concepts
- How to build cohorts with the Cohort Builder and Dataset Builder
- How to build cohorts with SQL code in your analysis environment
- How to work with longitudinal EHR data
Quick links:
4:48 Overview of the All of Us Research Program
10:50 Exercise 0: Duplicate a workspace
16:58 Overview of All of Us EHR data
23:50 Introduction to OMOP
24:42 OMOP stores data in a relational database
28:38 Exercise 1: Working with OMOP tables
34:04 OMOP standardizes medical terms
37:58 Exercise 2: Using Athena to find OMOP concepts
38:17 Exercise 2.1: Exploring OMOP concepts
40:41 Concept ID vs Concept Code
42:20 Exercise 2.2: Exploring OMOP concepts (continued)
48:34 Building a cohort with the Cohort Builder
55:54 Creating a dataset with the Dataset Builder
57:34 Exercise 3: Using the Cohort Builder and the Dataset Builder
58:10 Building a cohort with your analysis environment
59:43 Exercise 4: Building a cohort using SQL
1:09:31 Exercise 5: Working with longitudinal EHR data
1:24:46 Additional resources to check out!
If you have any questions, reach out to our support team at [e-mail]
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recorded June 5, 2024