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

Juliana Kuster Filipe Bowles; Ricardo Czekster; Guilherme Alfredo Redeker; Thais Webber

doi:10.1007/978-3-030-70650-0_6

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

Juliana Kuster Filipe Bowles, Ricardo Czekster, Guilherme Alfredo Redeker, Thais Webber

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

6 Downloads (Pure)

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.

Original language	English
Title of host publication	From data to models and back
Subtitle of host publication	9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers
Editors	Juliana Bowles, Giovanna Broccia, Mirco Nanni
Place of Publication	Cham
Publisher	Springer
Chapter	6
Pages	87-103
Number of pages	17
ISBN (Electronic)	9783030706500
ISBN (Print)	9783030706494
DOIs	https://doi.org/10.1007/978-3-030-70650-0_6
Publication status	Published - 5 Mar 2021

Publication series

Name	Lecture notes in computer science
Volume	12611
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Healthcare processes
Emergency demand
Process simulation
COVID-19
Emergency department

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-70650-0_6

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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.
Accepted author manuscript, 868 KB

Cite this

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 (pp. 87-103). (Lecture notes in computer science; Vol. 12611). Springer. https://doi.org/10.1007/978-3-030-70650-0_6

Kuster Filipe Bowles, Juliana ; Czekster, Ricardo ; Redeker, Guilherme Alfredo et al. / A simulation study on demand disruptions and limited resources for healthcare provision. From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. editor / Juliana Bowles ; Giovanna Broccia ; Mirco Nanni. Cham : Springer, 2021. pp. 87-103 (Lecture notes in computer science).

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title = "A simulation study on demand disruptions and limited resources for healthcare provision",

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.",

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Kuster Filipe Bowles, J, Czekster, R, Redeker, GA & 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

A simulation study on demand disruptions and limited resources for healthcare provision. / Kuster Filipe Bowles, Juliana; Czekster, Ricardo; Redeker, Guilherme Alfredo et al.
From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. ed. / Juliana Bowles; Giovanna Broccia; Mirco Nanni. Cham: Springer, 2021. p. 87-103 (Lecture notes in computer science; Vol. 12611).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kuster Filipe Bowles J, Czekster R, Redeker GA, Webber T. A simulation study on demand disruptions and limited resources for healthcare provision. In Bowles J, Broccia G, Nanni M, editors, From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. Cham: Springer. 2021. p. 87-103. (Lecture notes in computer science). Epub 2021 Mar 4. doi: 10.1007/978-3-030-70650-0_6

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

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Juliana Bowles - SFC GCRF 2019/20: Improving processes, data sharing and decision support in Brazilian healthcare: focusing on polypharmacy and mental health

Cite this

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

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Juliana Bowles - SFC GCRF 2019/20: Improving processes, data sharing and decision support in Brazilian healthcare: focusing on polypharmacy and mental health

Cite this