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GP GPAD Access Dashboard

NHS England SW Intelligence and Insights

About the Project

status: experimental

This repository holds code for the GP Access Dashboard

Note: Only public or fake data are shared in this repository.

Project Stucture

  • The main code is found in the root of the repository (see Usage below for more information)

Built With

[R Studio](RStudio Team (2020). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA URL http://www.rstudio.com/.)
[R Statistical Software]( R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.)

library(flexdashboard) library(tidyverse) library(readr) library(easycsv) library(janitor) library(lubridate) library(timeDate) library(bizdays) library(readxl) library(rjson) library(TTR) library(astsa) library(forecast) library(rlang) library(gridExtra) library(reactable) library(english) library(gridExtra) library(here) library(zoo) library(NHSRplotthedots)

Getting Started

Installation

To get a local copy up and running follow these simple steps.

To clone the repo:

Usage

Code takes UKHF data from UDAL and creates GPAD dashboard.

Currently data is hard coded to caluclate rates for South West Region and ICBs. This could be adjusted to work within other regions.

To run the report you need access to UDAL and create a personal credentials file with server name and user details.

This file will be sourced from the gp.data_input_sql.R file which will create a CSV.

This CSV is then read in by the GP Flex v3d file which needs to be knitted from within posit.

Outputs

Results in markdown flex dashboard

Datasets

Uses publically available GPAD data. This is pulled from UDAL within NHSE.

Roadmap

Hope to add more analysis around timeliness metrics as these are developed nationally.

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 for detailed guidance.

License

Unless stated otherwise, the codebase is released under the MIT Licence. This covers both the codebase and any sample code in the documentation.

See LICENSE for more information.

The documentation is © Crown copyright and available under the terms of the Open Government 3.0 licence.

Contact

Simon Wellesley-Miller

To find out more get in touch at Simon.Wellesley-Miller.

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Report into GP access rates taken from GPAD data

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