# FHIR Analytics

Data-driven healthcare relies on being able to quickly generate trusted,
actionable insights.

While the FHIR standard offers many benefits to developers building
next-generation digital health solutions, its heavily nested structure can be
challenging to work with for analytics.

To make it easier for developers to build solutions that reduce the complexity
of working with FHIR data, we provide *FHIR Data Pipes*, a set of tools: ETL
pipelines to convert resources to Parquet-on-FHIR schema, a view definition
layer and query engine connectors.

*FHIR Data Pipes* is designed for horizontal scalability and flexible deployment
options (on-premises or in the cloud). At the same time, it is deployable
on a single machine.

![OHS FHIR Analytics](https://developers.google.com/images/diagram-analytics.png)

Together these make it easier for developers to build and deploy analytics
solutions using different technologies for a range of use cases.

Learn more about FHIR Data Pipes and its component parts:

- [FHIR Data Pipes](https://developers.google.com/open-health-stack/fhir-analytics/data-pipes)
- [Parquet-on-FHIR schema](https://developers.google.com/open-health-stack/fhir-analytics/parquet-on-fhir)
- [View Layer](https://developers.google.com/open-health-stack/fhir-analytics/view-layer)