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⚠️ ARCHIVED ⚠️ Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC

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ccdata is an R package for working with the Critical Care Health Informatics Collaborative's data set. Since 2014 data from the critical care units at Cambridge, Guys/Kings/St Thomas', Imperial, Oxford, and University College London has been extracted and stored securely in a standardised format.

The purpose of the project is to enable researchers to answer clinical questions that are important to patients, but which are normally too difficult because data is unstandardised, siloed, and inaccessible.

These data are crucially needed by healthcare professionals for the delivery and continuity of care; by administrators for audit, planning and service improvement; and by academic and industry researchers for the translation of scientific progress into patient benefit. Through this process, CC-HIC can improve patient outcomes, reduce the costs of care, and accelerate the pace of translational health research.

The physical database is held at the UCL IDHS within the Information Services Division of University College London (UCL). UCL manage and ensure that the database and the surrounding governance structures are appropriate for holding identifiable and sensitive NHS data. The safe haven is compliant to NHS Information Governance Toolkit Level 2 and operates to the ISO 27001, the Safe Haven already holds identifiable, sensitive NHS data for secondary purpose. The Critical Care HIC management group will maintain oversight and be the point of contact for researchers wishing to access data.

The security put in place to ensure the safety of this resource inevitably creates challenges for the researchers. We have therefore created a three sided tool to make CCHIC research ready.

  • this shared code library
  • an anonymised development data set
  • a virtual machine for simulating work within the safe haven

Required packages

  • R (>= 3.1.0),
  • XML,
  • data.table,
  • yaml,
  • pander,
  • Rcpp,
  • methods

How to install the R package

Mac & Linux

git clone git@github.com:UCL-HIC/ccdata.git
R CMD INSTALL ccdata # "sudo R CMD INSTALL ccdata" if root access is required.

RStudio

  • Download the tar file from ccdata Github page.
  • In the package panel click the button install.
  • select Package Archive File (.tgz, .tar.gz) for the select from tab.
  • click install

How to contribute

The ccdata package is currently underdevelopment. We wellcome users using, commenting about the code on the master branch. If you have any question, you can just raise an isssue on Github or contact the developers via email (s.shi@ucl.ac.uk). Please let us know if you also want make contribution to the code development.

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⚠️ ARCHIVED ⚠️ Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC

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