https://github.com/rubynixx/process_mining_r_healthcare
Repo that contains templates for R and links to open source healthcare data in event log format.
https://github.com/rubynixx/process_mining_r_healthcare
Last synced: 3 months ago
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Repo that contains templates for R and links to open source healthcare data in event log format.
- Host: GitHub
- URL: https://github.com/rubynixx/process_mining_r_healthcare
- Owner: RubyNixx
- License: mit
- Created: 2024-04-16T09:11:14.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-02T14:58:25.000Z (about 1 year ago)
- Last Synced: 2025-01-10T17:43:54.022Z (4 months ago)
- Language: R
- Size: 945 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Process Mining using R
## NHS England East of England - Intelligence & Insight
### About the Project
[](https://github.com/GIScience/badges#experimental)
This repository holds code for the Process Mining using R and contains everything you need to get you started.
_**Note:** Only public or fake data are shared in this repository._
### Project Stucture
- The main code and test data is found in the root of the repository (see Usage below for more information)
### Built With
R Studio
- (https://bupaverse.github.io/docs/index.html)
### Getting Started
#### Installation
To get a local copy up and running follow these simple steps:
1. Clone repo
2. Set up project in R linked to your cloned Git repository
3. Change file path in R script to local file path (using artificial data within this repo)
To clone the repo:
`git clone https://github.com/RubyNixx/Process_Mining_R_Healthcare`
To create a suitable environment:
- R Studio
- Libraries are contained with the R script
### Usage
The R code provides examples, using 1 dataset, of the different types of visualisations for process mining you can create using the bupaverse package.
#### Outputs
Charts are outputted to screen when you run the code.
#### Datasets
Fake data is used within project, which has been manually transformed to meet NHS Data Dictionary fields. (Based on this dataset: https://gitlab.com/healthcare2/process-mining-tutorial/-/blob/master/ArtificialPatientTreatment.csv?ref_type=heads)
The script loads this from the test data excel file and then generates a event log, so the only change you should need to make to get this to run on your own instance is to re-direct the readexcel file path to your own.
There are 100 test pathways, of which some look like rework, to make it easier as a beginner select a smaller set of pathways to understand the range of visualisation.
### Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
_See [CONTRIBUTING.md](./CONTRIBUTING.md) for detailed guidance._
### License
Unless stated otherwise, the codebase is released under [the MIT Licence][mit].
This covers both the codebase and any sample code in the documentation.
_See [LICENSE](./LICENSE) for more information._
The documentation is [© Crown copyright][copyright] and available under the terms
of the [Open Government 3.0][ogl] licence.
[mit]: LICENCE
[copyright]: http://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/
[ogl]: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
### Contact
[email protected]
Technical contact: [email protected]
### Acknowledgements
Thanks to Mike Perham for all your support and guidance.
Thanks to BNSSG for sharing: https://github.com/nhs-bnssg-analytics/process-mining-clinical-pathways/tree/main