Data modelling and validation of an emergency department simulation model — A Lean Healthcare Approach

dc.contributor.authorCastanheira-Pinto, Alexandrepor
dc.contributor.authorGonçalves, Brunopor
dc.contributor.authorLima, Rui M.por
dc.contributor.authorDinis-Carvalho, Josépor
dc.date.accessioned2022-05-30T19:03:14Z
dc.date.embargo10000-01-01
dc.date.issued2021
dc.descriptionFirst Online: 29 August 2021por
dc.description.abstractAn increasing demand for the public emergency systems has been noticed in the recent past. Since public hospitals capacity, in terms of resources, doesn’t followed such increase proportionally, operational problems started to emerge. To pursue better hospital operations management, lean philosophy has been adopted since the its successful cases in the industry. For this purpose, a statistical analysis was made in the hospital database in order to obtain key performance indicators (KPI), such as Takt Time as well as the arrival patterns per priority. Such statistical data and KPIs were posteriorly used to validate a discrete simulation model that represents the emergency system of a public hospital in Portugal. Therefore, multiple processes were modeled, like the admission, triage and the arrival of patients to the treatment rooms. Finally, it is presented the validation procedure for the simulation model. After testing it was possible to prove that the simulation model is valid, which means that is capable of representing the real system, achieving realistic results.por
dc.description.sponsorshipThis work was partially supported by projects UID/CEC/00319/2019 and POCI-01-0145-FEDER-030299, from Fundação para a Ciência e Tecnologia (FCT), Portugal.por
dc.distributioninternationalpor
dc.identifier.citationCastanheira-Pinto, A., Gonçalves, B., Lima, R.M., Dinis-Carvalho, J. (2021). Data Modelling and Validation of An Emergency Department Simulation Model—A Lean Healthcare Approach. In: Tavares Thomé, A.M., Barbastefano, R.G., Scavarda, L.F., Gonçalves dos Reis, J.C., Amorim, M.P.C. (eds) Industrial Engineering and Operations Management. IJCIEOM 2021. Springer Proceedings in Mathematics & Statistics, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-030-78570-3_1por
dc.identifier.doi10.1007/978-3-030-78570-3_1por
dc.identifier.eisbn978-3-030-78570-3
dc.identifier.isbn978-3-030-78569-7
dc.identifier.issn2194-1009por
dc.identifier.urihttps://hdl.handle.net/1822/78043
dc.language.isoengpor
dc.peerreviewedyespor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2019/PTpor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-78570-3_1por
dc.rightsrestrictedAccesspor
dc.subjectDiscrete event simulationpor
dc.subjectLean healthcarepor
dc.subjectSimulationpor
dc.subjectSimulation modelpor
dc.titleData modelling and validation of an emergency department simulation model — A Lean Healthcare Approachpor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.citationEndPage11por
oaire.citationStartPage1por
oaire.citationVolume367por
sdum.journalSpringer Proceedings in Mathematics and Statisticspor

Ficheiros

Pacote original

A mostrar 1 - 1 de 1
A carregar...
Nome:
2021 _cnf IJCIEOM'2021 Castanheira-Pinto_et_la_HOM_DataModelling.pdf
Tamanho:
307.58 KB
Formato:
Adobe Portable Document Format