Forecasting demand for hospital services: A managerial perspective

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dc.authorscopusid7005780412
dc.authorscopusid58579692200
dc.authorscopusid29567504900
dc.authorscopusid58404569400
dc.authorscopusid58400440900
dc.contributor.authorAcar Y.
dc.contributor.authorCetin O.
dc.contributor.authorRodopman O.B.
dc.contributor.authorMinga R.
dc.contributor.authorDoguer H.
dc.date.accessioned2024-06-12T10:26:14Z
dc.date.available2024-06-12T10:26:14Z
dc.date.issued2023
dc.description.abstractDemand forecasting is one of the important issues related to operations management in health sector. Forecasting patient volume in hospitals provides an important input regarding the correct planning of financial resources, human resources, and material resources. In this chapter, the authors first discuss forecasting patient volume in hospital services and then present a case study involving patient volume forecasting for a local hospital in Turkey. Different traditional statistical methods and machine learning methods are applied to both inpatient and outpatient demand from six polyclinics and a surgery room. Results show that damped trend exponential smoothing method outperforms other methods based on overall performance. © 2023, IGI Global. All rights reserved.en_US
dc.identifier.doi10.4018/978-1-6684-8103-5.ch015
dc.identifier.endpage263en_US
dc.identifier.isbn9781668481042
dc.identifier.isbn9781668481035
dc.identifier.scopus2-s2.0-85163427319en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage248en_US
dc.identifier.urihttps://doi.org/10.4018/978-1-6684-8103-5.ch015
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16744
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.relation.ispartofHandbook of Research on Quality and Competitiveness in the Healthcare Services Sectoren_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[Abstarct Not Available]en_US
dc.titleForecasting demand for hospital services: A managerial perspectiveen_US
dc.typeBook Chapteren_US

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