A multiobjective stochastic program for hospital bed planning

2012 ◽  
Vol 63 (4) ◽  
pp. 530-538 ◽  
Author(s):  
F Ben Abdelaziz ◽  
M Masmoudi
2012 ◽  
Vol 140 (2) ◽  
pp. 833-843 ◽  
Author(s):  
Rym Ben Bachouch ◽  
Alain Guinet ◽  
Sonia Hajri-Gabouj

SIMULATION ◽  
1984 ◽  
Vol 43 (2) ◽  
pp. 69-78 ◽  
Author(s):  
M. Barry Dumas

2020 ◽  
Vol 26 (3) ◽  
pp. 71-72
Author(s):  
Rodney P Jones

In a preface to his soon-to-be-published research, Rodney P Jones discusses the thus far unexplained patterns revealed in a long-term analysis of hospital bed occupancy, along with other healthcare data, and what this could mean for hospital bed planning.


2001 ◽  
Vol 9 (1) ◽  
pp. 51-57 ◽  
Author(s):  
K. Petzall ◽  
B. Berglund ◽  
C. Lundberg
Keyword(s):  

2011 ◽  
Vol 152 (20) ◽  
pp. 797-801 ◽  
Author(s):  
Miklós Gresz

In the past decades the bed occupancy of hospitals in Hungary has been calculated from the average of in-patient days and the number of beds during a given period of time. This is the only measure being currently looked at when evaluating the performance of hospitals and changing their bed capacity. The author outlines how limited is the use of this indicator and what other statistical indicators may characterize the occupancy of hospital beds. Since adjustment of capacity to patient needs becomes increasingly important, it is essential to find indicator(s) that can be easily applied in practice and can assist medical personal and funders who do not work with statistics. Author recommends the use of daily bed occupancy as a base for all these statistical indicators. Orv. Hetil., 2011, 152, 797–801.


Author(s):  
Rodrigo Luís Pereira Barreto ◽  
Elias Renã Maletz ◽  
André Luís Molgaro ◽  
João Vitor Fernandes Brito ◽  
Daniel Martins

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