Data modelling and validation of an emergency department simulation model — A Lean Healthcare Approach
| dc.contributor.author | Castanheira-Pinto, Alexandre | por |
| dc.contributor.author | Gonçalves, Bruno | por |
| dc.contributor.author | Lima, Rui M. | por |
| dc.contributor.author | Dinis-Carvalho, José | por |
| dc.date.accessioned | 2022-05-30T19:03:14Z | |
| dc.date.embargo | 10000-01-01 | |
| dc.date.issued | 2021 | |
| dc.description | First Online: 29 August 2021 | por |
| dc.description.abstract | An 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.sponsorship | This 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.distribution | international | por |
| dc.identifier.citation | Castanheira-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_1 | por |
| dc.identifier.doi | 10.1007/978-3-030-78570-3_1 | por |
| dc.identifier.eisbn | 978-3-030-78570-3 | |
| dc.identifier.isbn | 978-3-030-78569-7 | |
| dc.identifier.issn | 2194-1009 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/78043 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2019/PT | por |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-78570-3_1 | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Discrete event simulation | por |
| dc.subject | Lean healthcare | por |
| dc.subject | Simulation | por |
| dc.subject | Simulation model | por |
| dc.title | Data modelling and validation of an emergency department simulation model — A Lean Healthcare Approach | por |
| dc.type | conferencePaper | por |
| dspace.entity.type | Publication | en |
| oaire.citationEndPage | 11 | por |
| oaire.citationStartPage | 1 | por |
| oaire.citationVolume | 367 | por |
| sdum.journal | Springer Proceedings in Mathematics and Statistics | por |
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