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A collection of tools for extracting FHIR resources and analytics services on top of that data.

License: Apache License 2.0

Shell 3.64% Python 9.30% Java 49.49% CSS 0.02% HTML 1.27% Jupyter Notebook 35.52% Dockerfile 0.75%

fhir-data-pipes's Introduction

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What is this?

This repository includes pipelines to transform data from a FHIR server (like HAPI, GCP FHIR store, or even OpenMRS) using the FHIR format into a data warehouse based on Apache Parquet files, or another FHIR server. There is also a query library in Python to make working with FHIR-based data warehouses simpler.

These tools are intended to be generic and eventually work with any FHIR-based data source and data warehouse. Here is the list of main directories with a brief description of their content:

  • pipelines/ *START HERE*: Batch and streaming pipelines to transform data from a FHIR-based source to an analytics-friendly data warehouse or another FHIR store.

  • docker/: Docker configurations for various servers/pipelines.

  • doc/: Documentation for project contributors. See the pipelines README and wiki for usage documentation.

  • utils/: Various artifacts for setting up an initial database, running pipelines, etc.

  • dwh/: Query library for working with distributed FHIR-based data warehouses.

  • bunsen/: A fork of a subset of the Bunsen project which is used to transform FHIR JSON resources to Avro records with SQL-on-FHIR schema.

  • e2e-tests/: Scripts for testing pipelines end-to-end.

NOTE: This was originally started as a collaboration between Google and the OpenMRS community.

fhir-data-pipes's People

Contributors

abhia-dev avatar atulai-sg avatar bashir2 avatar chandrashekar-s avatar dependabot[bot] avatar fredhersch avatar gdevanla avatar gitcliff avatar ibacher avatar jecihjoy avatar kimaina avatar ljnic avatar mozzy11 avatar omarismail94 avatar pmanko avatar rayyang29 avatar suriyan3 avatar suruchee avatar tawfiqkhalilieh avatar vbothe23 avatar williamito avatar

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