Essay 2:1 –
The Principles of Clinical Data Visualisation and Pattern Recognition in Information

Principia Medicinae Digitalis Sotoniensis
Essays on the Evolution of the UHS Clinical Data Estate 1980 -2024

Author David Rew QVRM MChir FRCS. Consultant Surgeon

27th October 2024

Publication Plan 

The essays which comprise this series will be made available in the first instance on my professional website, https://www.wessexsurgical.co.uk as downloadable PDF documents
for review, comment and as a basis for further contributions. They will be amended, updated and supplementary as necessary and as any new material becomes available. All those colleagues with knowledge and experience of the UHS digital programme are welcome to contribute, by communication with me through david.rew@wessexsurgical.co.uk.
Once the project is as complete as is achievable, final copies of each of the essays will be submitted to the University of Southampton ePrint server for formal publication.

Copyright
The copyright of this collection is invested in Mr David Anthony Rew as the originator of the project, editor, principal author and compiler of the collection of essays. The content of each essay is made available on a Creative Commons Version 2 CC BY basis, under which Licensees may only copy, distribute, display, perform and make derivative works and remixes based on it on the basis of Full Attribution, including formal Citation where appropriate in books and academic publications. Full acknowledgement is given to all contributors to the written work at appropriate points in the text.

Essay 2:1 describes the principles of dynamic data visualisation and of pattern display and recognition in electronic data. The principles are the foundations of the UHS Lifelines system 

Introduction
Information is collected and manipulated to aid human decision making. Data Visualisation is the art and science of presenting alpha-numerical and geographical information to the
human eye and brain in an optimal format to convey the message and the intelligence in a
data set. This permits the most effective and efficient interpretation of that information to the decision maker.

To view the full 41 page essay, download PDF.