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.
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:
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Last updated 2024-11-26 UTC.
[null,null,["Last updated 2024-11-26 UTC."],[[["FHIR Data Pipes simplifies working with FHIR data for analytics by providing ETL pipelines, a view definition layer, and query engine connectors."],["It offers horizontal scalability and flexible deployment options, making it suitable for various analytics use cases."],["The tools convert FHIR resources to Parquet-on-FHIR schema for easier data processing."],["Developers can leverage these tools to build and deploy healthcare analytics solutions efficiently."]]],["FHIR Data Pipes addresses the complexity of analyzing FHIR data by providing tools for developers. It includes ETL pipelines that convert FHIR resources to Parquet-on-FHIR schema, a view definition layer, and query engine connectors. Designed for scalability and flexible deployment, it can run on-premises, in the cloud, or on a single machine. These tools facilitate the development and deployment of analytics solutions across diverse use cases by simplifying FHIR data handling.\n"]]
