Simulation Study of the Impact of COVID-19 Policies on the Efficiency of a Smart Clinic MRI Service.

COVID-19 Discrete-Event Simulation FlexSim Healthcare Gruppo San Donato anti-contagion policies outpatient clinic

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
25 Mar 2022
Historique:
received: 01 03 2022
revised: 22 03 2022
accepted: 23 03 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 24 4 2022
Statut: epublish

Résumé

The present study examines the impact of the policies against the proliferation of SARS-CoV-2 on outpatient facilities through a direct comparison of the key performance indicators measured in an ordinary and pandemic scenario. The subject of the analysis is a diagnostic imaging department of a Smart Clinic (SC) of Gruppo San Donato (GSD). The operations are virtually replicated through a Discrete-Event Simulation (DES) software called FlexSim Healthcare. Operational and productivity indicators are defined and quantified. As hypothesized, anti-contagious practices affect the normal execution of medical activities and their performance, resulting in an unpleasant scenario compared to the baseline one. A reduction in the number of diagnoses by 19% and a decrease in the utilization rate of the diagnostic machine by 21% are shown. Consequently, the development of strategies that restore balance and improve the execution of outpatient activities in a pandemic setting is necessary.

Identifiants

pubmed: 35455797
pii: healthcare10040619
doi: 10.3390/healthcare10040619
pmc: PMC9030171
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Francesca Sala (F)

Department of Management, Information and Production Engineering, University of Bergamo, Via Pasubio 7/b, 24044 Dalmine, Italy.

Mariangela Quarto (M)

Department of Management, Information and Production Engineering, University of Bergamo, Via Pasubio 7/b, 24044 Dalmine, Italy.

Gianluca D'Urso (G)

Department of Management, Information and Production Engineering, University of Bergamo, Via Pasubio 7/b, 24044 Dalmine, Italy.

Classifications MeSH