New Analytics: Data Quality for Acute Inpatient

[utsavpaudel]

Describe your changes

Implemented a Framework for Analyzing Claims Data Quality: Acute Inpatient.

How has this been tested?

Ran dbt build on Snowflake and BigQuery.

Reviewer focus

@cocozuloaga Please trigger the CI, so errors on Redshift/ Fabric can be identified/resolved, if any.

Checklist before requesting a review

• I have added at least one Github label to this PR (bug, enhancement, breaking change,...)
• My code follows style guidelines
• (New models) YAML files are categorized by sub folder and models listed in alphabetical order
• (New models) I have added a config to each new model to enable it for claims and/or clinical data
• (New models) I have added the variable tuva_last_run to the final output
• (Optional) I have recorded a Loom to explain this PR

Package release checklist

• I have updated dbt docs
• I have updated the version number in the dbt_project.yml

(Optional) Gif of how this PR makes you feel

Loom link

[github-actions]

Workflow has finished with the following statuses:

• BigQuery Clinical and Claims: failure

• BigQuery Claims: skipped

• BigQuery Clinical: skipped

• Fabric Clinical and Claims: failure

• Fabric Claims: skipped

• Fabric Clinical: skipped

• Redshift Clinical and Claims: failure

• Redshift Claims: skipped

• Redshift Clinical: skipped

• Snowflake Clinical and Claims: failure

• Snowflake Claims: skipped

• Snowflake Clinical: skipped

[utsavpaudel]

The CI has failed in this PR due to the upstream dependencies on input layer medical_claim table's field ms_drg_code and apr_drg_code. We'll update the logic adhering to new data model as per #715

[utsavpaudel]

This has been incorporated now. Thanks.

The CI has failed in this PR due to the upstream dependencies on input layer medical_claim table's field ms_drg_code and apr_drg_code. We'll update the logic adhering to new data model as per #715

[jansenpa]

@chase-jones