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Open source healthcare data transformation

See why 100+ healthcare organizations have switched to Tuva

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Cost
Transparency
Control
Other vendors

Competing healthcare analytics platforms often cost $1M to $5M+ and eat into margin.

Black-box platforms leave teams guessing how raw data becomes reported metrics, so basic questions can take weeks or never get answered.

Traditional vendors create lock-in: stop paying and you lose the platform.

Tuva

Tuva open source is free, and Marketplace apps are up to 90% less expensive than competing alternatives.

With Tuva, every pipeline is visible end to end, so most answers happen in the same conversation.

Tuva runs inside your environment, so you keep the code, pipelines, and flexibility whether or not you work with Tuva commercially.

How Tuva works

1

Ingest

Bring in claims, eligibility, EHR, pharmacy, and other healthcare data sources.

2

Normalize

Standardize heterogeneous source formats into a consistent, warehouse-native input layer.

3

Validate

Apply data quality checks that identify atomic-level issues before they impact analytics.

4

Enrich

Enhance normalized data with higher-level healthcare concepts for business and clinical decision-making.

Tuva Core Platform architecture diagram showing source systems, input layer, data quality, normalization, claims preprocessing, the core data model, data marts, and analytics outputs.

The largest open source community in healthcare

We’re backed by the world’s largest open-source community of healthcare data professionals—2,400+ data engineers, analysts, scientists, informaticists, and epidemiologists sharing practical patterns, documentation, and implementation lessons from real healthcare data work.

Docs

The largest repository of healthcare data and analytics knowledge in the world.

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YouTube

Watch demos, deep dives, and implementation walkthroughs from the Tuva team.

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