This project was funded between August 2019 and November 2020.

  • Run by Guy’s and St Thomas’ NHS Foundation Trust, and to be implemented at the gastroenterology department.
  • Aiming to improve lesion recognition by endoscopists and therefore increase the early detection of cancer and other diseases.
  • Will develop a framework that allows data linkage between routinely collected endoscopy and pathology reports for individual endoscopists, with suggestions for improvement in endoscopic performance.

To improve early detection of cancer and other diseases in gastroenterology, the quality of endoscopic investigations needs to be standardised and optimised. This requires effective training and continuous feedback on endoscopist performance.

Various performance metrics, such as adenoma detection rates (a type of colonic polyp that can lead to cancer), have been shown to directly reflect missed cancer rates for individual endoscopists. This metric, along with others, is derived from endoscopic and pathological datasets, which are currently manually analysed and fed back to endoscopists on a six-monthly basis. This is laborious, poorly executed and provides no feedback on how to improve endoscopic performance.

This Advancing Applied Analytics project aims to introduce automated feedback with suggestions for improvement in endoscopic performance from disparate datasets (pathology, and endoscopy with images), which will improve lesion recognition and therefore early detection. It will be implemented at the gastroenterology department at Guy’s and St Thomas’ NHS Foundation Trust, which performs around 20,000 endoscopies a year.

The project will involve developing a framework, using the programming language R, to allow data linkage between endoscopy images and reports, and pathology reports for individual endoscopists on a monthly basis. Automated data extraction, analysis and visualisation will be developed, as well as metrics to demonstrate deficiencies in lesion recognition.

The project will lay the foundations for an analytical infrastructure at the Trust, and will be used as an example of the benefits of using data analytics, and as a training tool to further expand the use of R within the Trust.

Contact information

For more information about this project, please contact Sebastian Zeki, Consultant Gastroenterologist, Guy’s and St Thomas’ NHS Foundation Trust.

You might also like...

Blog

Putting health tech into practice

Blog

What is required for tech implementation in the NHS to be successful, and how should this shape our...

Chart

NHS Test and Trace performance tracker

Chart

Our analysis on the performance of NHS Test and Trace from 1 October 2020 to 5 May 2021.

Press release

Government needs to address long-standing underinvestment as NHS backlog grows

Press release

Health Foundation response to the publication of NHS England's monthly performance statistics.

Kjell-bubble-diagramArtboard 101 copy

Get social

How can we foster a conducive environment for adopting and sustaining innovation and technology in the NHS? Our la… https://t.co/0FWvrwRFfJ

Follow us on Twitter
Kjell-bubble-diagramArtboard 101

Work with us

We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.

View current vacancies
Artboard 101 copy 2

The Q community

Q is an initiative connecting people with improvement expertise across the UK.

Find out more