2003
DOI: 10.1046/j.1365-2044.2003.03042.x
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Mathematical modelling and simulation for planning critical care capacity*

Abstract: SummaryUsing average number of patients expected in a year, average length of stay and a target occupancy level to calculate the number of critical care beds needed is mathematically incorrect because of nonlinearity and variability in the factors that control length of stay. For a target occupancy in excess of 80%, this simple calculation will typically underestimate the number of beds required. More seriously, it provides no quantitative guidance information about other aspects of critical care demand such a… Show more

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Cited by 123 publications
(86 citation statements)
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“…We developed a discrete event simulation model [6,7], using the simulation software tool eM-Plant (Plano, USA). This simulation model was a representation of the Erasmus MC 12 OR set-up.…”
Section: Methodsmentioning
confidence: 99%
“…We developed a discrete event simulation model [6,7], using the simulation software tool eM-Plant (Plano, USA). This simulation model was a representation of the Erasmus MC 12 OR set-up.…”
Section: Methodsmentioning
confidence: 99%
“…Many models do not include crucial management responses to demand; in reality there may be opportunities to manage admissions, as in the HLC, or expedite patient transfer or discharge of patients. Ignoring such management responses can lead to overestimates of the capacity requirements (Costa et al, 2003). In some units, there may be the possibility to expedite the transfer of some patients out of the ICU if occupancy levels are high, or extending the stay when occupancy is low (Mallor & Azcárate, 2011).…”
Section: Modelling Icu's and The Balance Of Resourcesmentioning
confidence: 99%
“…Lack of ICU beds to admit emergency patients has been cited as one of the reasons for overcrowding the Emergency Rooms (ER) and long wait times that has become a national issue and has contributed to cancellation of elective surgical procedures and has impacted the surgical wait list [13,14] . Despite the pressures to reduce the wait times and progresses in some areas, a recent report by Canadian Institute for Health Information (CIHI) suggests that in Canadian ERs, one patient out of ten waits eight or more hours to be seen [15] .…”
Section: Discussionmentioning
confidence: 99%