Summary and Schedule
OMOP Carpentries Course.
This course should provide clinicians and analysts with an introduction to the OMOP Common Data Model and how they can use R to access data and answer clinical questions.
The course is intended to be run over two days in person, or to be self directed online.
We suggest that learners are familiar with R and the tidyverse or do one of the carpentries introductory R courses.
A laptop
This lesson assumes you have current versions of the following installed on your computer:
- the R software itself, and
- RStudio Desktop.
You also need to download some files to follow this lesson:
- Download omop-data.zip.
TODO: update this file with download requirements for the whole course.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. What is OMOP? |
What is OMOP? Why is using a standard important in healthcare data? How do OMOP tables relate to each other? What are concept_ids and how can we get an humanly readable name for them? :::::::::::::::::::::::::::::::::::::::::::::::: |
| Duration: 00h 00m | 2. Exploring OMOP concepts with R |
Find the vocabulary and domain for a given
concept_idEstablish whether a concept_id is a standard concept Find all concepts within a given domain Find all concepts within a given vocabulary |
| Duration: 00h 00m | 3. More on concepts |
Where to find other concept_ids in OMOP How to link OMOP tables |
| Duration: 00h 00m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
This lesson assumes you have current versions of the following installed on your computer:
- the R software itself, and
- RStudio Desktop.
You also need to download some files to follow this lesson:
- Make a new folder in your Desktop called
omop_taster. - Download omop-data.zip and move the file to this folder.
- If it’s not unzipped yet, unzip it. There should now be a folder
called
datain theomop_tasterfolder. - You can access this folder from the Unix shell with: