COVID-19 recognition and digital risk stratification
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Hodgson, Luke E., Leckie, Todd, Hunter, Alexander, Prinsloo, Nicolaas, Venn, Richard and Forni, Lui (2020) COVID-19 recognition and digital risk stratification Future Healthcare Journal, 7 (3).
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Official URL: https://doi.org/10.7861/fhj.2020-0037
Abstract
In the acute hospital setting the COVID-19 pandemic presents some unique challenges to acute patient care. These include accurate recognition of cases, confirmation of both testing requests and results, establishing patient acuity and alerting to deterioration. We report our experience introducing a digital COVID-19 assessment tool with an associated live dashboard at two acute NHS hospitals, enabling accurate hospital-level reporting alongside risk stratification.
| Item Type: | Article | |||||||||||||||||||||
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| Divisions : | Faculty of Health and Medical Sciences | |||||||||||||||||||||
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| Date : | 25 May 2020 | |||||||||||||||||||||
| DOI : | 10.7861/fhj.2020-0037 | |||||||||||||||||||||
| Copyright Disclaimer : | © Royal College of Physicians 2020. All rights reserved. | |||||||||||||||||||||
| Uncontrolled Keywords : | Digital Assessment; Covid-19; Coronavirus | |||||||||||||||||||||
| Depositing User : | James Marshall | |||||||||||||||||||||
| Date Deposited : | 12 Jun 2020 08:34 | |||||||||||||||||||||
| Last Modified : | 12 Jun 2020 08:34 | |||||||||||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/857786 |
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