Check out our docs to learn about the Tuva Project and how you can use it on your healthcare data.
The Elation Connector is a dbt project that maps raw data from Elation to the Tuva Core Data Model and then builds all the clinical Tuva Data Marts. Your Elation data should be organized according to this data dictionary.
- BigQuery
- Redshift
- Snowflake
You must have medical record data from Elation in a data warehouse supported by this project. Elation offers customers access to data via Snowflake data share.
Next you need to tell dbt where your Elation source data is located. Do this using the variables input_database and input_schema in the dbt_project.yml file. You also need to configure your profile in the dbt_project.yml.
Execute the command dbt deps to install The Tuva Project. By default, this connector will use any version of the Tuva Project after 0.5.0 which is when clinical support was released.
Now you're ready to run the connector and the Tuva Project. For example, using dbt CLI you would cd to the project root folder in the command line and execute dbt build. You're now ready to do clinical data analytics! Check out the data mart in our docs to learn what tables you should query.
Have an opinion on the mappings? Notice any bugs when installing and running the project?
If so, we highly encourage and welcome feedback! Feel free to submit an issue or drop a message in Slack.
Join our growing community of healthcare data practitioners on Slack!