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Measuring Unexpected Hospital Demand: The Application of a Univariate Model to Public Hospitals in Greece
Author(s) -
Zoe Boutsioli
Publication year - 2009
Publication title -
hospital topics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.202
H-Index - 21
eISSN - 1939-9278
pISSN - 0018-5868
DOI - 10.1080/00185860903323115
Subject(s) - univariate , christian ministry , public hospital , volatility (finance) , reputation , business , public health , order (exchange) , medicine , medical emergency , finance , political science , nursing , multivariate statistics , computer science , machine learning , law
The accurate forecasting of hospital demand is an important issue in many countries. The author applied a univariate model using hospital daily emergency admissions of 10 public hospitals in Athens, Greece, during the period 2001-2005. Unexpected demand varied considerably among hospital units in Greece, and its volatility over time was low. Managerial and organizational characteristics of the hospital, the easy accessibility by the patients, its reputation, and the size of the hospital were possible explanations for these variations. The Ministry of Health should undertake policies in order to smooth out the variations in unexpected demand among the Greek public hospitals.

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