University of Surrey

Test tubes in the lab Research in the ATI Dance Research

COVID-19 recognition and digital risk stratification

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).

fhj.2020-0037.full.pdf - Version of Record

Download (250kB) | Preview


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
Divisions : Faculty of Health and Medical Sciences
Authors :
Hodgson, Luke E.
Leckie, Todd
Hunter, Alexander
Prinsloo, Nicolaas
Venn, Richard
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

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800