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]
#AllofUsResearch #ResearcherWorkbench #HealthResearch #EHR #MedicalResearch #DataScience #BiomedicalResearch #ResearchCommunity
recorded June 5, 2024