Literature DB >> 8919569

A planning model for requirement of emergency beds.

X M Huang1.   

Abstract

In-patient bed requirement (or number of beds required to cope with the workload) is of prime importance for hospital management because of its direct implication for manpower requirement and therefore the costs. In-patient beds could be divided into emergency beds and elective beds, where the requirement for emergency beds will be affected by both patient length of stay distributions and the random patterns in which patients arrive. In this paper, the author extends the early results by Pike et al. (1963, Br. J. Prev. Soc. Med. 17, 172) so that day-of-week effect is introduced into the queuing model to evaluate the requirement of emergency beds. It is demonstrated that emergency bed occupancy on any specific day of the week follows a Poisson distribution.

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Year:  1995        PMID: 8919569     DOI: 10.1093/imammb/12.3-4.345

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  7 in total

1.  Decision making support in reshaping hospital medical services.

Authors:  X M Huang
Journal:  Health Care Manag Sci       Date:  1998-10

2.  Practical experience with bed occupancy management and planning systems: an Australian view.

Authors:  M Mackay
Journal:  Health Care Manag Sci       Date:  2001-02

3.  Choice of models for the analysis and forecasting of hospital beds.

Authors:  Mark Mackay; Michael Lee
Journal:  Health Care Manag Sci       Date:  2005-08

4.  Classification of hospital admissions into emergency and elective care: a machine learning approach.

Authors:  Jonas Krämer; Jonas Schreyögg; Reinhard Busse
Journal:  Health Care Manag Sci       Date:  2017-11-25

5.  Queueing theoretic analysis of labor and delivery : Understanding management styles and C-section rates.

Authors:  Matthew Gombolay; Toni Golen; Neel Shah; Julie Shah
Journal:  Health Care Manag Sci       Date:  2017-09-04

6.  A framework for operational modelling of hospital resources.

Authors:  Paul R Harper
Journal:  Health Care Manag Sci       Date:  2002-08

7.  A model for the distribution of daily number of births in obstetric clinics based on a descriptive retrospective study.

Authors:  Christiane M B Gam; Julien Tanniou; Niels Keiding; Ellen L Løkkegaard
Journal:  BMJ Open       Date:  2013-08-30       Impact factor: 2.692

  7 in total

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