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A simulation study on demand disruptions and limited resources for healthcare provision

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Date
2021
Author
Kuster Filipe Bowles, Juliana
Czekster, Ricardo
Redeker, Guilherme Alfredo
Webber, Thais
Funder
Scottish Funding Council
Grant ID
Keywords
Healthcare processes
Emergency demand
Process simulation
COVID-19
QA75 Electronic computers. Computer science
RA0421 Public health. Hygiene. Preventive Medicine
T-NDAS
SDG 3 - Good Health and Well-being
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Abstract
Philanthropic hospitals in Brazil are in great part funded by the government and are daily accessed by a large portion of the population. As the Brazilian economy faces deep cuts in healthcare, managers are adjusting budgets and focusing on less expensive alternatives such as process improvements. Hospitals are even more impacted by the recent COVID-19 pandemic with widespread disruption on operational processes forcing them to stretch resources. Thus, it brings an opportunity to evaluate the actual performance of these settings under different scenarios where analysts may address bottlenecks and the impact on resources. Our focus is to quantify the capacity of an emergency department to support patient demand with limited resources in pre and post-pandemic scenarios. We use a 12-month longitudinal dataset consisting of pre-pandemic emergency occurrences and assigned resources.
Citation
Kuster Filipe Bowles , J , Czekster , R , Redeker , G A & Webber , T 2021 , A simulation study on demand disruptions and limited resources for healthcare provision . in J Bowles , G Broccia & M Nanni (eds) , From Data to Models and Back : 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers . Lecture Notes in Computer Science , vol. 12611 , Springer , Cham , pp. 87-103 . https://doi.org/10.1007/978-3-030-70650-0_6
Publication
From Data to Models and Back
DOI
https://doi.org/10.1007/978-3-030-70650-0_6
ISSN
0302-9743
Type
Conference item
Rights
Copyright © 2021 Springer Nature Switzerland AG. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-030-70650-0.
Description
Funding: Scottish Funding Council GCRF grant 2019/20.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/21682

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