Hospitals are near their limits – computer models can help keep their doors open

Robert Van Der Meer; Gillian Hopkins Anderson

Hospitals are near their limits – computer models can help keep their doors open

Robert Van Der Meer, Gillian Hopkins Anderson

Research output: Contribution to specialist publication › Article

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Abstract

Coronavirus is causing a strain on health services around the world. Just last week, over 80% of critical care beds in England were full, with warnings of hospitals hitting their limits in the coming days. Because of the fast moving and uncertain nature of the pandemic, it is difficult to predict with any certainty how many beds will be required, even over a relatively short timescale. One option would be to reduce admissions of non-COVID patients, but that is normally a last resort.

Original language	English
Number of pages	6
Specialist publication	The Conversation
Publication status	Published - 19 Jan 2021

Keywords

COVID-19
hospital management
bed capacity planning
bed utilisation
computer modelling
simulation model
NHS Lanarkshire

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Van-Der-Meer-Anderson-TC-2021-Hospitals-are-near-their-limits-computer-models-can-helpFinal published version, 1.7 MBLicence: CC BY-ND 4.0

Cite this

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Hospitals are near their limits – computer models can help keep their doors open

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Social Innovation Programme for Health and Wellbeing

Collaborative critical care prediction and resource planning during the COVID-19 pandemic using computer simulation modelling: future urgent planning lessons

Predicting critical care needs during a pandemic

Times Higher Education Awards 2021 - Research Project of the Year: Arts, Humanities and Social Sciences - Shortlisted: University of Strathclyde

Computational intelligence for COVID-19 modelling

COVID-19 logistics modelling

Causal modelling of the COVID-19 pandemic

Cite this

Hospitals are near their limits – computer models can help keep their doors open

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Social Innovation Programme for Health and Wellbeing

Research output

Collaborative critical care prediction and resource planning during the COVID-19 pandemic using computer simulation modelling: future urgent planning lessons

Predicting critical care needs during a pandemic

Prizes

Times Higher Education Awards 2021 - Research Project of the Year: Arts, Humanities and Social Sciences - Shortlisted: University of Strathclyde

Activities

Computational intelligence for COVID-19 modelling

COVID-19 logistics modelling

Causal modelling of the COVID-19 pandemic

Cite this