Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/103055
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dc.creatorC. Granja
dc.creatorB. Almada Lobo
dc.creatorF. Janela
dc.creatorJ. Seabra
dc.creatorA. Mendes
dc.date.accessioned2019-02-08T09:57:41Z-
dc.date.available2019-02-08T09:57:41Z-
dc.date.issued2014
dc.identifier.issn1532-0464
dc.identifier.othersigarra:92504
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/103055-
dc.description.abstractBackground: As patient's length of stay in waiting lists increases, governments are looking for strategies to control the problem. Agreements were created with private providers to diminish the workload in the public sector. However, the growth of the private sector is not following the demand for care. Given this context, new management strategies have to be considered in order to minimize patient length of stay in waiting lists while reducing the costs and increasing (or at least maintaining) the quality of care. Method: Appointment scheduling systems are today known to be proficient in the optimization of health care services. Their utilization is focused on increasing the usage of human resources, medical equipment and reducing the patient waiting times. In this paper, a simulation-based optimization approach to the Patient Admission Scheduling Problem is presented. Modeling tools and simulation techniques are used in the optimization of a diagnostic imaging department. Results: The proposed techniques have demonstrated to be effective in the evaluation of diagnostic imaging workflows. A simulated annealing algorithm was used to optimize the patient admission sequence towards minimizing the total completion and total waiting of patients. The obtained results showed average reductions of 5% on the total completion and 38% on the patients' total waiting time.
dc.language.isoeng
dc.relationinfo:eu-repo/grantAgreement/FCT - Fundação para a Ciência e Tecnologia/Projetos Estratégicos/PEst-C/EQB/UI0511/2013/PROJECTO ESTRATÉGICO - UI 511 - 2013-2014/UI0511
dc.rightsrestrictedAccess
dc.subjectEngenharia, Ciências da engenharia e tecnologias
dc.subjectEngineering, Engineering and technology
dc.titleAn optimization based on simulation approach to the patient admission scheduling problem using a linear programing algorithm
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1016/j.jbi.2014.08.007
dc.identifier.authenticusP-00A-2H8
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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