Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112872
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Type: Journal article
Title: Hospital occupancy and discharge strategies: a simulation-based study
Author: Qin, S.
Thompson, C.
Bogomolov, T.
Ward, D.
Hakendorf, P.
Citation: Internal Medicine Journal, 2017; 47(8):894-899
Publisher: Wiley
Issue Date: 2017
ISSN: 1444-0903
1445-5994
Statement of
Responsibility: 
Shaowen Qin, Campbell Thompson, Tim Bogomolov, Dale Ward, Paul Hakendorf
Abstract: Background: Increasing demand for hospital services has resulted in more arrivals to emergency department (ED), increased admissions, and, quite often, access block and ED congestion, along with patients’ dissatisfaction. Cost constraints limit an increase in the number of hospital beds, so alternative solutions need to be explored. Aims: To propose and test different discharge strategies, which, potentially, could reduce occupancy rates in the hospital, thereby improving patient flow and minimising frequency and duration of congestion episodes. Methods: We used a simulation approach using HESMAD (Hospital Event Simulation Model: Arrivals to Discharge) – a sophisticated simulation model capturing patient flow through a large Australian hospital from arrival at ED to discharge. A set of simulation experiments with a range of proposed discharge strategies was carried out. The results were tabulated, analysed and compared using common hospital occupancy indicators. Results: Simulation results demonstrated that it is possible to reduce significantly the number of days when a hospital runs above its base bed capacity. In our case study, this reduction was from 281.5 to 22.8 days in the best scenario, and reductions within the above range under other scenarios considered. Conclusion: Some relatively simple strategies, such as 24‐h discharge or discharge/relocation of long‐staying patients, can significantly reduce overcrowding and improve hospital occupancy rates. Shortening administrative and/or some treatment processes have a smaller effect, although the latter could be easier to implement.
Keywords: Hospital occupancy rate; patient discharge; discrete event simulation model
Rights: © 2017 Royal Australasian College of Physicians
RMID: 0030086946
DOI: 10.1111/imj.13485
Grant ID: http://purl.org/au-research/grants/arc/LP130100323
Appears in Collections:Medicine publications

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