Forecasting demand for hospital services: A managerial perspective
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IGI Global
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Demand 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.
Açıklama
Anahtar Kelimeler
[Abstarct Not Available]
Kaynak
Handbook of Research on Quality and Competitiveness in the Healthcare Services Sector
WoS Q Değeri
Scopus Q Değeri
N/A
