{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T17:28:50Z","timestamp":1715534930958},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/shti220177","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:33Z","timestamp":1654594413000},"source":"Crossref","is-referenced-by-count":2,"title":["AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data"],"prefix":"10.3233","author":[{"given":"Kieran","family":"Zucker","sequence":"first","affiliation":[{"name":"Leeds Institute for Medical Research, University of Leeds, Leeds, West Yorkshire, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Millie","family":"Wagstaff","sequence":"additional","affiliation":[{"name":"Leeds Institute for Medical Research, University of Leeds, Leeds, West Yorkshire, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cathy","family":"Tomson","sequence":"additional","affiliation":[{"name":"Leeds Institute for Medical Research, University of Leeds, Leeds, West Yorkshire, UK"},{"name":"School of Geography, University of Leeds, Leeds, West Yorkshire, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roger","family":"Beecham","sequence":"additional","affiliation":[{"name":"School of Geography, University of Leeds, Leeds, West Yorkshire, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geoff","family":"Hall","sequence":"additional","affiliation":[{"name":"Leeds Institute for Medical Research, University of Leeds, Leeds, West Yorkshire, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220177","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:34Z","timestamp":1654594414000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220177","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}