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dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.authorCzekster, Ricardo
dc.contributor.authorRedeker, Guilherme Alfredo
dc.contributor.authorWebber, Thais
dc.contributor.editorBowles, Juliana
dc.contributor.editorBroccia, Giovanna
dc.contributor.editorNanni, Mirco
dc.identifier.citationKuster 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 .
dc.identifier.otherPURE: 272117175
dc.identifier.otherPURE UUID: 28481766-40af-472d-9817-01b750f6116f
dc.identifier.otherORCID: /0000-0002-8091-6021/work/91341072
dc.identifier.otherORCID: /0000-0002-5918-9114/work/91341081
dc.identifier.otherScopus: 85103544117
dc.identifier.otherORCID: /0000-0002-8722-2559/work/137494601
dc.descriptionFunding: Scottish Funding Council GCRF grant 2019/20.en
dc.description.abstractPhilanthropic 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.
dc.relation.ispartofFrom data to models and backen
dc.relation.ispartofseriesLecture notes in computer scienceen
dc.rightsCopyright © 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
dc.subjectHealthcare processesen
dc.subjectEmergency demanden
dc.subjectProcess simulationen
dc.subjectEmergency departmenten
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleA simulation study on demand disruptions and limited resources for healthcare provisionen
dc.typeConference itemen
dc.contributor.sponsorScottish Funding Councilen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen

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