Effective optimisation of the patient circuits of an oncology day hospital: Mathematical programming models and case study

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimizaciónes_ES
dc.contributor.authorGonzález Maestro, Adrián
dc.contributor.authorBrozos Vázquez, Miguel
dc.contributor.authorCasas Méndez, Balbina
dc.contributor.authorLópez López, Rafael
dc.contributor.authorLópez Rodríguez, Rosa
dc.contributor.authorReyes Santías, Francisco
dc.date.accessioned2024-01-24T09:03:03Z
dc.date.available2024-01-24T09:03:03Z
dc.date.issued2022
dc.description.abstractIn this paper, we first use the information we have on the patients of an oncology day hospital to distribute the treatment schedules they have in each of the visits to this centre. To do this, we propose a deterministic mathematical programming model in such a way that we minimise the duration of the waiting room stays of the total set of patients and taking into account the restrictions of the circuit. Secondly, we will look for a solution to the same problem under a stochastic approach. This model will explicitly consider the existing uncertainty in terms of the different times involved in the circuit, and this model also allows the reorganisation of the schedules of medical appointments with oncologists. The models are complemented by a tool that solves the problem of assigning nurses to patients. The work is motivated by the particular characteristics of a real hospital and the models are used and compared with data from this case.es_ES
dc.description.peerreviewedSIes_ES
dc.description.sponsorshipThis research has been funded by the ERDF, the Government of Spain/AEI [grant MTM2017- 87197-C3-3-P] and the Xunta de Galicia [Grupos de Referencia Competitiva ED431C2017/38, and ED431C 2021/24].es_ES
dc.identifier.citationGonzález-Maestro, A.; Brozos-Vázquez, E.; Casas-Méndez, B.; López-López, R.; López-Rodríguez, R.; Reyes-Santias, F. Effective Optimisation of the Patient Circuits of an Oncology Day Hospital: Mathematical Programming Models and Case Study. Mathematics 2022, 10, 62es_ES
dc.identifier.doi10.3390/math10010062
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10347/31958
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.publisherversionhttps://doi.org/10.3390/math10010062es_ES
dc.rights©2021 by the authors. LicenseeMDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution(CCBY) license.es_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectTreatment scheduleses_ES
dc.subjectMedical appointment schedulinges_ES
dc.subjectInteger linear programminges_ES
dc.subjectStochastic programminges_ES
dc.subjectNurse assignmentes_ES
dc.subjectCase studyes_ES
dc.subject.classificationOptimizationes_ES
dc.titleEffective optimisation of the patient circuits of an oncology day hospital: Mathematical programming models and case studyes_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc100cb7d-00b2-441f-900b-617d886e5dee
relation.isAuthorOfPublication379cc913-eaca-4c1b-a99a-6e686435238d
relation.isAuthorOfPublication.latestForDiscoveryc100cb7d-00b2-441f-900b-617d886e5dee

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