NOTE: This is a work in progress and the current version is only for demonstration purposes. Once these tools reach Alpha status, this note should be removed. This is a collaboration between Google and the OpenMRS community.

This repository includes pipelines to transform data from an OpenMRS instance using the FHIR format into a data warehouse based on Apache Parquet files, or another FHIR server (e.g., a HAPI FHIR server or Google Cloud FHIR store). 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/ Batch and streaming pipelines to transform data from a FHIR based source to an analytics friendly data warehouse or another FHIR store.

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

• bunsen/ A fork of a subset of the Bunsen project.

• docker/ Docker configurations for various servers/pipelines.

• doc/ Documentations

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

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