What is the Tuva Project?

The Tuva Project is a collection of tools for transforming raw healthcare data into analytics-ready data. The main Tuva package (i.e. this repo) is a dbt package that includes the following components:

• Input Layer
• Claims Preprocessing
• Core Data Model
• Data Marts
• Terminology & Value Sets

Detailed documentation of this package and related tools, including data dictionaries, can be found at www.thetuvaproject.com.

Agentic Workflow

We are increasingly using agents to use and further develop this package. You can find context for agents in AGENTS.md.

Contributing

This is the recommended setup for development:

• Python 3.10 or later
• duckdb
• dbt (dbt-core and dbt-duckdb)

Connect duckdb and dbt via your profile.yml.

Use tuva/integration_tests as your development project. Configure the dbt_project.yml in this folder to connect to duckdb.

Run the package from integration_tests. This will:

• Load dev data from seed files stored in the project
• Build the entire pipeline in your duckdb instance

From there we recommend iterating with your preferred coding agent using AGENTS.md.

Hello and welcome! Thank you so much for taking the time to contribute to the Tuva Project. People like you are helping to build a community of healthcare data practitioners that shares knowledge and tools. Whether it’s fixing a bug, submitting an idea, updating the docs, or sharing your healthcare knowledge, you can make an impact!

In this guide, you will get an overview of the contribution workflow, from how to contribute, setting up your development environment, testing, and creating a pull request.

dbt Variables

Tuva uses dbt variables (var()) to control which parts of the pipeline are enabled and to configure runtime behavior. Set these in your dbt_project.yml under the vars: key.

Data Source Enablement

These variables control which input data types are active. Setting a group-level variable enables all marts in that group; individual mart variables override the group setting.

Variable	Default	Description
claims_enabled	false	Enable all claims-based marts
clinical_enabled	false	Enable all clinical-based marts
tuva_marts_enabled	false	Enable all marts (claims + clinical). Overridden by the more specific variables above.

Individual Mart Enablement

Each mart can be independently enabled or disabled. When not set, these inherit from claims_enabled, clinical_enabled, or tuva_marts_enabled.

Variable	Default	Description
claims_preprocessing_enabled	Inherits	Claims preprocessing (encounters, service categories, normalized input)
ccsr_enabled	Inherits	Clinical Classifications Software Refined (CCSR)
cms_chronic_conditions_enabled	Inherits	CMS Chronic Conditions
tuva_chronic_conditions_enabled	Inherits	Tuva Chronic Conditions
cms_hcc_enabled	Inherits	CMS-HCC Risk Adjustment
ed_classification_enabled	Inherits	ED Classification
financial_pmpm_enabled	Inherits	Financial PMPM
hcc_suspecting_enabled	false	HCC Suspecting
hcc_recapture_enabled	false	HCC Recapture
quality_measures_enabled	Inherits	Quality Measures (HEDIS/CQM)
readmissions_enabled	Inherits	Readmissions
fhir_preprocessing_enabled	false	FHIR Preprocessing
pqi_enabled	Inherits	AHRQ Prevention Quality Indicators
provider_attribution_enabled	Inherits	Provider Attribution
semantic_layer_enabled	Inherits	Semantic Layer
brand_generic_enabled	Inherits	Brand/Generic pharmacy analysis

Runtime Configuration

Variable	Default	Description
tuva_last_run	Current UTC timestamp	Populates the tuva_last_run column in all output models. Automatically set to the dbt run start time.
cms_hcc_payment_year	Current year	The CMS-HCC payment year for risk score calculation.
quality_measures_period_end	Current year-end	End date of the quality measures reporting period.
record_type	"ip"	CCSR record type: "ip" for inpatient, "op" for outpatient.
dxccsr_version	"’2023.1’"	CCSR diagnosis mapping version.
prccsr_version	"’2023.1’"	CCSR procedure mapping version.

Infrastructure & Schema

Variable	Default	Description
tuva_schema_prefix	None	When set, all Tuva output schemas are prefixed with this value (e.g., myprefix_core).
custom_bucket_name	"tuva-public-resources"	S3 bucket for seed data. Override to use a private bucket.
enable_input_layer_testing	true	Run DQI data quality tests on the input layer.
enable_legacy_data_quality	false	Build legacy (pre-DQI) data quality models.
enable_normalize_engine	false	Enable the normalize engine for custom code mapping. Set to "unmapped" to list unmapped codes, or true to also integrate custom mappings.
provider_attribution_as_of_date	None	Reference date for provider attribution calculations.