EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
Project description
EDS-TeVa 
Documentation: https://aphp.github.io/edsteva/latest/
Source Code: https://github.com/aphp/edsteva
EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
Requirements
EDS-TeVa stands on the shoulders of Spark 2.4 which requires:
- Python ~3.7.1
- Java 8
Installation
You can install EDS-TeVa through pip:
pip install edsteva
We recommend pinning the library version in your projects, or use a strict package manager like Poetry.
pip install edsteva==0.2.7
Example
A scientific paper is currently being written that describes extensively the use of the library on the study of quality and epidemiological indicators.
Contributing
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
Acknowledgement
We would like to thank Assistance Publique – Hôpitaux de Paris and AP-HP Foundation for funding this project.
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