2018
DOI: 10.1016/j.orhc.2017.12.001
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Why the distribution matters: Using discrete event simulation to demonstrate the impact of the distribution of procedure times on hospital operating room utilisation and average procedure cost

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Cited by 12 publications
(9 citation statements)
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“…In this analysis, CBA for paroxysmal AF was associated with a reduction of 36.2% in days with overtime, 92.7% less cumulative overtime hours, and an increase of 46.7% in days with time for an additional EP lab usage. Monnickendam [ 6 ] also compared the impact on average procedure consumptions of AF ablation with CBA and RFA via a DES model, using data from a single surgical centre in Belgium. The study demonstrated that 28.6% of RFA procedures are over 30 min longer than the median duration, compared to only 4.4% of CBA procedures.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this analysis, CBA for paroxysmal AF was associated with a reduction of 36.2% in days with overtime, 92.7% less cumulative overtime hours, and an increase of 46.7% in days with time for an additional EP lab usage. Monnickendam [ 6 ] also compared the impact on average procedure consumptions of AF ablation with CBA and RFA via a DES model, using data from a single surgical centre in Belgium. The study demonstrated that 28.6% of RFA procedures are over 30 min longer than the median duration, compared to only 4.4% of CBA procedures.…”
Section: Discussionmentioning
confidence: 99%
“…In the model, the first PVI case was scheduled at 7:30 am, and three PVI cases were scheduled in a lab day using either the CBA system (Arctic Front™ Cardiac Cryoablation system, Medtronic, Inc.) or an irrigated point-by-point RFA system. The EP lab was modelled fully flexible scheduling: each procedure started as soon as the lab opened or the previous case was over [ 6 ]. Operational delays were assumed in the model, including: (1) room turnover time of 20 min and (2) patient delays between 0 and 15 min.…”
Section: Methodsmentioning
confidence: 99%
“…Based on the above analysis, we examine the variable "surgery duration in minutes", especially regarding its distributional characteristics. On the one hand, this information is relevant for selecting a suitable statistical model for the empirical analyses; on the other hand, it is also important to obtain a realistic justification for any distributional assumptions made, which decisively influence the operating room utilization in scheduling activities (Monnickendam and de Asmundis 2018).…”
Section: Data Preparation and Descriptive Statisticsmentioning
confidence: 99%
“…Major portion of the cost is consumed in managing the resources of operation room, besides choosing the best surgical procedure among different options. [3].…”
Section: Simulation Modeling Practicementioning
confidence: 99%