Wang Lien, Demeulemeester Erik, Vansteenkiste Nancy, Rademakers Frank E
KU Leuven, Faculty of Business and Economics, Department of Decision Sciences and Information Management, Research Centre for Operations Management, Naamsestraat 69, 3000, Leuven, Belgium.
University Hospitals Leuven, Faculty of Medicine, Herestraat 49, 3000, Leuven, Belgium.
Health Care Manag Sci. 2022 Dec;25(4):526-550. doi: 10.1007/s10729-022-09598-0. Epub 2022 Jun 2.
In hospitals, the efficient planning of the operating rooms (ORs) is difficult due to the uncertainty inherent to surgical services. This is especially true for the inpatient surgical department where complex and long surgeries are often performed along with surgeries on emergency patients. This paper aims to improve the scheduling of the inpatient department by partitioning the elective surgeries into the more predictable surgeries (MPS) group and the less predictable surgeries (LPS) group, based on surgery duration variability, and by scheduling each of the two surgery groups in different ORs. Through a simulation study that comprehensively investigates the impact of the partitioning on different performance measures under various environmental settings, we report important findings and insights. First, partitioning can effectively shorten the waiting times of elective patients for both MPS and LPS groups, but the option should be allowed to reassign patients from the MPS or LPS ORs to the other ORs when needed. Meanwhile, partitioning sometimes slightly increases the elective cancellation rate. Second, the ability to use the available capacity of the ORs as much as possible is key to reducing elective waiting times. Third, partitioning might slightly worsen the waiting times of emergency patients, while the slightly negative impact on emergency patients decreases when the number of ORs is higher. Fourth, the beneficial impact of partitioning on elective patients increases with an increased patient demand. Last, for the settings considered in this study there was no benefit in partitioning the elective patients into more than two groups.
在医院中,由于手术服务本身存在不确定性,手术室的高效规划颇具难度。对于住院外科科室而言尤其如此,在该科室中,复杂且耗时较长的手术常常与急诊患者的手术同时进行。本文旨在通过基于手术时长变异性将择期手术划分为更可预测手术(MPS)组和较不可预测手术(LPS)组,并在不同的手术室中安排这两组手术,来改进住院科室的手术安排。通过一项模拟研究,全面考察了在各种环境设置下这种划分对不同绩效指标的影响,我们报告了重要的发现和见解。首先,划分能够有效缩短MPS组和LPS组择期患者的等待时间,但应允许在必要时将患者从MPS或LPS手术室重新分配至其他手术室。与此同时,划分有时会略微提高择期手术取消率。其次,尽可能利用手术室的可用容量是减少择期等待时间的关键。第三,划分可能会略微延长急诊患者的等待时间,而当手术室数量较多时,对急诊患者的轻微负面影响会减小。第四,划分对择期患者的有益影响会随着患者需求的增加而增强。最后,对于本研究中所考虑的设置,将择期患者划分为两组以上并无益处。