Zucker, K. orcid.org/0000-0003-4385-3153, Wagstaff, M., Tomson, C. et al. (2 more authors) (2022) AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. In: Studies in Health Technology and Informatics. MedInfo 2021 – One World, One Health, 02-04 Oct 2021, Online. IOS Press , pp. 744-747. ISBN 978-1-64368-264-8
Abstract
Most data collected by hospitals as a consequence of the delivery of routine care is not utilised for analytics or organisational intelligence. This project aims to develop tools to enhance the utilisation of routinely collected cancer data within hospitals across England. This was achieved by developing a web application using open source tools to provide health care professionals and hospital managers with easy to use, interactive analytics for cancer data. The application uses data items hospitals in England are mandated to collect as part of the Cancer Outcomes and Services Dataset (COSD), to provide clinical insight into survival outcomes, population distributions, service demands, waiting times, geographical case distributions and treatment information in real-time or near real-time. Development was guided by end user needs through the use of panels of clinical and non-clinical end users.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 International Medical Informatics Association (IMIA) and IOS Press. This is an open access conference paper under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2025 12:10 |
Last Modified: | 12 Jun 2025 12:10 |
Published Version: | https://doi.org/10.3233/shti220177 |
Status: | Published |
Publisher: | IOS Press |
Identification Number: | 10.3233/shti220177 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227749 |