Premium
Hospital occupancy and discharge strategies: a simulation‐based study
Author(s) -
Qin Shaowen,
Thompson Campbell,
Bogomolov Tim,
Ward Dale,
Hakendorf Paul
Publication year - 2017
Publication title -
internal medicine journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 70
eISSN - 1445-5994
pISSN - 1444-0903
DOI - 10.1111/imj.13485
Subject(s) - medicine , overcrowding , occupancy , emergency medicine , emergency department , medical emergency , engineering , psychiatry , economics , economic growth , architectural engineering
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.