Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78074

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Campo DCValorIdioma
dc.contributor.authorBarretiri, Leandropor
dc.contributor.authorGonçalves, Bruno S.por
dc.contributor.authorLima, Rui M.por
dc.contributor.authorDinis-Carvalho, Josépor
dc.date.accessioned2022-05-30T22:57:51Z-
dc.date.available2022-05-30T22:57:51Z-
dc.date.issued2021-
dc.identifier.citationLeandro Barretiri, Bruno S. Gonçalves, Rui M. Lima & José Dinis-Carvalho | Jun Guo (Reviewing editor) (2021) Improving hospital operations management to reduce ineffective medical appointments, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.1904806por
dc.identifier.issn2331-1916-
dc.identifier.urihttps://hdl.handle.net/1822/78074-
dc.description.abstractThe main objective of this study is to meet management aspirations by promoting waste reduction and consequently improving patients` experience in a Portuguese public hospital. These aspirations include increasing hospital service quality in a continuous and efficient way. This management mindset uncovered divergences between medical appointment and magnetic resonance imaging (MRI) exam scheduling that were generating waste for both the hospital and patients. The main aspects considered in this study were the patients’ medical expectations, the quality, and cost of service provided. One-year retroactive encrypted data from medical appointments and MRI requisitions were provided for the algorithm development. Outcomes obtained from the algorithm revealed a high percentage of medical appointments occurring without the respective MRI exam results. These outcomes exposed waste existence that was hitherto unknown by the administration. Thus, the main algorithm function is to analyze future data to previously alert ineffective medical appointments. This progress contributes to reducing wasted medical and patient time. In summary, the main contribution of this article is to allow hospital managers to cross-check data from different sectors to identify divergences in future medical consultations that require exams or results of clinical analysis.por
dc.description.sponsorshipThis work was supported by the Fundacao para a Ciencia e a Tecnologia [POCI-01-0145-FEDER-030299]; Fundacao para a Ciencia e a Tecnologia [UIDB/00319/2020].por
dc.language.isoengpor
dc.publisherTaylor & Francispor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT-
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectIndustrial Engineering & Manufacturingpor
dc.subjectOperations Managementpor
dc.subjectEngineering Managementpor
dc.subjectProduction Engineeringpor
dc.subjectmagnetic resonance imagingpor
dc.subjectineffective medical appointmentspor
dc.subjecthospital operations managementpor
dc.subjectlean healthcarepor
dc.subjectwaste reductionpor
dc.titleImproving hospital operations management to reduce ineffective medical appointmentspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/23311916.2021.1904806por
oaire.citationIssue1por
oaire.citationVolume8por
dc.identifier.doi10.1080/23311916.2021.1904806por
dc.subject.wosScience & Technologypor
sdum.journalCogent Engineeringpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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