Decision support tool for hospital resource allocation during the COVID-19 pandemic.
COVID-19
Contingency planning
Emergency planning
Ensemble simulation
Erlang distribution
In-house patient modeling
Real-time resource planning
Resource allocation
SARS-CoV-2
Scenario simulation
Staffing
Web application
Journal
Informatics in medicine unlocked
ISSN: 2352-9148
Titre abrégé: Inform Med Unlocked
Pays: England
ID NLM: 101718051
Informations de publication
Date de publication:
2021
2021
Historique:
received:
23
04
2021
accepted:
22
05
2021
pubmed:
8
6
2021
medline:
8
6
2021
entrez:
7
6
2021
Statut:
ppublish
Résumé
The SARS-CoV-2 (COVID-19) pandemic has placed unprecedented demands on entire health systems and driven them to their capacity, so that health care professionals have been confronted with the difficult problem of ensuring appropriate staffing and resources to a high number of critically ill patients. In light of such high-demand circumstances, we describe an open web-accessible simulation-based decision support tool for a better use of finite hospital resources. The aim is to explore risk and reward under differing assumptions with a model that diverges from most existing models which focus on epidemic curves and related demand of ward and intensive care beds in general. While maintaining intuitive use, our tool allows randomized "what-if" scenarios which are key for real-time experimentation and analysis of current decisions' down-stream effects on required but finite resources over self-selected time horizons. While the implementation is for COVID-19, the approach generalizes to other diseases and high-demand circumstances.
Identifiants
pubmed: 34095453
doi: 10.1016/j.imu.2021.100618
pii: S2352-9148(21)00108-8
pmc: PMC8168305
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100618Informations de copyright
© 2021 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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