Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51865

TitleAssessment of forecasting models for patients arrival at Emergency Department
Author(s)Carvalho-Silva, Miguel
Monteiro, M. Teresa T.
de Sá-Soares, Filipe
Dória-Nóbrega, Sónia
KeywordsEmergency department
Forecasting models
Health costs
Optimization
Issue date2018
PublisherElsevier B.V.
JournalOperations Research for Health Care
Abstract(s)The unpredictability of arrivals to the Emergency Department (ED) of a hospital is a great concern of the management. The existence of more complex pathologies and the increase in life expectancy originate a higher rate of hospitalization. The hospitalization of patients via ED upsets previously programmed services and some cancellations may occur. The Hospital's ability to predict turnout variations in the arrivals to the ED is fundamental to the management of the human resources and the required number of beds.Braga Hospital, in Portugal, is the subject of this work. Data for ED arrivals in 2 years (2012-2013), the test period, was studied and forecasting models based on time series were built. The models were then tested against the real data from the evaluation period (2014). These models are of ARIMA (AutoRegressive-Integrated-Moving Average) type, used software was the Forecast Pro.
TypeArticle
URIhttp://hdl.handle.net/1822/51865
DOI10.1016/j.orhc.2017.05.001
ISSN2211-6923
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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