An Optimization Model for Operating Room Scheduling to Reduce Blocking Across the Perioperative Process

Abedini, Amin; Li, Wei; Ye, Honghan

doi:10.1016/j.promfg.2017.07.022

Cited by 34 publications

(28 citation statements)

References 27 publications

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“…Considering all this, a block-scheduling strategy was adopted in this study to avoid negative results, and to ensure patient/surgeon satisfaction in the hospital. When block-scheduling studies [11,15,16,20,[47][48][49] in the literature are examined, it is understood that they want to avoid these negative results.…”

Section: Discussionmentioning

confidence: 99%

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Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study

2019

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The achievement of health organizations’ goals is critically important for profitability. For this purpose, their resources, materials, and equipment should be efficiently used in the services they provide. A hospital has sensitive and expensive equipment, and the use of its equipment and resources needs to be balanced. The utilization of these resources should be considered in its operating rooms, as it shares both expense expenditure and revenue generation. This study’s primary aim is the effective and balanced use of equipment and resources in hospital operating rooms. In this context, datasets from a state hospital were used via the goal programming and constraint programming methods. According to the wishes of hospital managers, three scenarios were separately modeled in both methods. According to the obtained results, schedules were compared and analyzed according to the current situation. The hospital-planning approach was positively affected, and goals such as minimization cost, staff and patient satisfaction, prevention over time, and less use were achieved.

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Section: Discussionmentioning

confidence: 99%

“…Xiang [19] modeled the objectives of operating room schedules using ant colony optimization and Pareto sets. Abedini et al [20] in their work addressed the problem of balancing resources between operating room units.…”

Section: Introductionmentioning

confidence: 99%

Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study

2019

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“…Some researchers focused on optimizing hospital operation rooms to maximize the number of operations performed each year. Abedini et al proposed a mechanism to produce a schedule that can ensure the number of patients in each stage does not exceed the number of beds in that stage, which minimized patients' blocking [14]. Another perspective has been proposed for the optimization of the healthcare system, which focused on the internships of doctors in hospitals [15].…”

Section: Related Workmentioning

confidence: 99%

A Multi-Objective Optimization Method for Hospital Admission Problem—A Case Study on Covid-19 Patients

et al. 2021

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The wide spread of Covid-19 has led to infecting a huge number of patients, simultaneously. This resulted in a massive number of requests for medical care, at the same time. During the first wave of Covid-19, many people were not able to get admitted to appropriate hospitals because of the immense number of patients. Admitting patients to suitable hospitals can decrease the in-bed time of patients, which can lead to saving many lives. Also, optimizing the admission process can minimize the waiting time for medical care, which can save the lives of severe cases. The admission process needs to consider two main criteria: the admission time and the readiness of the hospital that will accept the patients. These two objectives convert the admission problem into a Multi-Objective Problem (MOP). Pareto Optimization (PO) is a common multi-objective optimization method that has been applied to different MOPs and showed its ability to solve them. In this paper, a PO-based algorithm is proposed to deal with admitting Covid-19 patients to hospitals. The method uses PO to vary among hospitals to choose the most suitable hospital for the patient with the least admission time. The method also considers patients with severe cases by admitting them to hospitals with the least admission time regardless of their readiness. The method has been tested over a real-life dataset that consisted of 254 patients obtained from King Faisal specialist hospital in Saudi Arabia. The method was compared with the lexicographic multi-objective optimization method regarding admission time and accuracy. The proposed method showed its superiority over the lexicographic method regarding the two criteria, which makes it a good candidate for real-life admission systems.

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“…The block planning strategy, which is associated with the main surgical scheduling problem, defined as the allocation of operational resources to surgical groups, is being considered in many studies. In the literature examined, there are 16 main surgical scheduling studies [ 20 , 22 , 24 , 25 , 27 , 30 , 31 , 40 , 49 , 53 , 56 , 60 , 61 , 88 , 150 , 151 ]. Mannino et al [ 27 ] considered the problem of estimating demand levels in creating the main surgical schedules and then aimed at stabilizing patient tail lengths and reducing the maximum overtime.…”

Section: Planning Strategiesmentioning

confidence: 99%

Application of Operational Research Techniques in Operating Room Scheduling Problems: Literature Overview

Gür

Eren

2018

Journal of Healthcare Engineering

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Increased healthcare costs are pushing hospitals to reduce costs and increase the quality of care. Operating rooms are the most important source of income and expense for hospitals. Therefore, the hospital management focuses on the effectiveness of schedules and plans. This study includes analyses of recent research on operating room scheduling and planning. Most studies in the literature, from 2000 to the present day, were evaluated according to patient characteristics, performance measures, solution techniques used in the research, the uncertainty of the problem, applicability of the research, and the planning strategy to be dealt within the solution. One hundred seventy studies were examined in detail, after scanning the Emerald, Science Direct, JSTOR, Springer, Taylor and Francis, and Google Scholar databases. To facilitate the identification of these studies, they are grouped according to the different criteria of concern and then, a detailed overview is presented.

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An Optimization Model for Operating Room Scheduling to Reduce Blocking Across the Perioperative Process

Cited by 34 publications

References 27 publications

Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study

Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study

A Multi-Objective Optimization Method for Hospital Admission Problem—A Case Study on Covid-19 Patients

Application of Operational Research Techniques in Operating Room Scheduling Problems: Literature Overview

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