Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/72446

TítuloModeling, assessment and design of an emergency department of a public hospital through discrete-event simulation
Autor(es)Castanheira-Pinto, Alexandre
Gonçalves, Bruno S.
Lima, Rui M.
Dinis-Carvalho, José
Palavras-chaveoperations management
emergency department
discrete event simulation
lean healthcare
simulation model
Data2021
EditoraMultidisciplinary Digital Publishing Institute
RevistaApplied Sciences
CitaçãoCastanheira-Pinto, A.; Gonçalves, B.S.; Lima, R.M.; Dinis-Carvalho, J. Modeling, Assessment and Design of an Emergency Department of a Public Hospital through Discrete-Event Simulation. Appl. Sci. 2021, 11, 805. https://doi.org/10.3390/app11020805
Resumo(s)Emergency departments in hospitals are having many difficulties in achieving the performance levels required by health regulators and society. The waiting times as well as the total throughput time are examples of performance indicators that emergency departments need to improve in order to provide a better service to the community. To achieve improvement of performance, the present paper shows a methodology to assist the design process of an emergency department using simulation techniques. In this study, the emergency department of a hospital located in the northern region of Portugal was considered to test the proposed simulation technique. The emergency department initial state was assessed, in terms of patient flow, as well as the human resources needed at every stage of the service. In order to understand in depth the process that a patient goes through during an emergency episode, a comprehensive study was performed on the hospital database. This allowed the analytical description of an emergency episode, which was further used as an input to the simulation model. After developing the simulation model with the information obtained by the hospital’s database, a validation stage was performed. Finally, in order to achieve an optimized design for the emergency department several variant scenarios were considered and evaluated. This methodology proved to be very useful in determining an optimized operation for complex, and non-linear systems.
TipoArtigo
URIhttps://hdl.handle.net/1822/72446
DOI10.3390/app11020805
ISSN2076-3417
Versão da editorahttps://www.mdpi.com/2076-3417/11/2/805
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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