Operating room planning and surgical case scheduling: a review of literature

Zhu, Shuwan; Fan, Wenjuan; Yang, Shanlin; Pei, Jun; Pardalos, Pãnos M.

doi:10.1007/s10878-018-0322-6

Cited by 159 publications

(117 citation statements)

References 213 publications

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“…In literature, many researchers studied the problem of planning and scheduling of elective patients (see [8,13] and the references herein for an overview while for an overview of the problems see [14]). Almost all the works consider criterion C1 presented before.…”

Section: Related Workmentioning

confidence: 99%

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

et al. 2020

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The operation room (OR) is one of the most expensive material resources in hospitals. Additionally, the demand for surgical service is increasing due to the aging population, while the number of surgical interventions performed is stagnated because of budget reasons. In this context, the importance of improving the efficiency of the surgical service is accentuated. The main objective of this work is to propose and to evaluate a Decision Support System (DSS) for helping medical staff in the automatic scheduling of elective patients, improving the efficiency of medical teams’ work. First, the scheduling criteria are fixed and then the scheduling problem of elective patients is approached by a mathematical programming model. A heuristic algorithm is proposed and included in the DSS. Moreover, other different features are implemented in a software tool with a friendly user interface, called CIPLAN. Considering realistic data, a simulation comparison of the scheduling obtained using the approach presented in this paper and other similar approaches in the bibliography is shown and analyzed. On the other hand, a case study considering real data provided by the Orthopedic Surgical Department (OSD) of the “Lozano Blesa” hospital in Zaragoza (HCU) is proposed. The simulation results show that the approach presented here obtains similar occupation rates and similar confidence levels of not exceeding the available time than approaches in the bibliography. However, from the point of view of respecting the order of the patients in the waiting list, the approach in this paper obtains scheduling much more ordered. In the case of the Orthopedic Surgical Department of the “Lozano Blesa” hospital in Zaragoza, the occupation rate may be increased by 2.83%, which represents a saving of 110,000 euros per year. Moreover, medical doctors (who use this tool) consider CIPLAN as an intuitive, rapid and efficient software solution that can make easier the corresponding task.

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Section: Related Workmentioning

confidence: 99%

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

et al. 2020

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“…Task 23, managing the OTC, is not specifically time dependent, nor is there specific output of this task and therefore it is not mentioned in Figure 2. Tasks 1 to 5 are at the tactical level because these concern master scheduling in the medium-term [41]. The other tasks are operational because they are related to short-term allocation of resources and execution.…”

Section: Agents and Tasks Performed For Surgerymentioning

confidence: 99%

Identifying Integration and Differentiation in a Hospital’s Logistical System: A social network analysis of a case study

Ham

Merode

Ruwaard

et al. 2020

Preprint

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Abstract Background Integration, the coordination and alignment of tasks, has been promoted widely in order to improve the performance of hospitals. Both organization theory and social network analysis offer perspectives on integration. This exploratory study research aims to understand how a hospital’s logistical system works, and in particular to what extent there is integration and differentiation. More specifically, it first describes how a hospital organizes logistical processes; second, it identifies the agents and the interactions for organizing logistical processes, and, third, it establishes the extent to which tasks are segmented into subsystems, which is referred to as differentiation, and whether these tasks are coordinated and aligned, thus achieving integration. Methods The study is based on case study research carried out in a hospital in the Netherlands. All logistical tasks that are executed for surgery patients were studied. Using a mixed method, data were collected from the Hospital Information System (HIS), documentation, observations and interviews. These data were used to perform a social network analysis and calculate the network metrics of the hospital network. Results This paper shows that 23 tasks are executed by 635 different agents who interact through 31,499 interaction links. The social network of the hospital demonstrates both integration and differentiation. The network appears to function differently from what is assumed in literature, as the network does not reflect the formal organizational structure of the hospital, and tasks are mainly executed across functional silos. Nurses and physicians perform integrative tasks and two agents who mainly coordinate the tasks in the network, have no hierarchical position towards other agents. The HIS does not seem to fulfill the interactional needs of agents. Conclusions This exploratory study reveals the network structure of a hospital. The cross-functional collaboration, the integration found, and position of managers, coordinators, nurses and doctors suggests a possible gap between organizational perspectives on hospitals and reality. This research sets a basis for further research that should focus on the relation between network structure and performance, on how integration is achieved and in what way organization theory concepts and social network analysis could be used in conjunction with one another.

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“…In this paper, we enclose the SSP only in the sequencing of surgeries and assigning *Corresponding Author Email: M.yazdi@qiau.ac.ir (M. Yazdi) the resources to them and determining their start times, which perfectly fits at the operational level. The SSP is well studied in the literature, Cardoen et al [7] and Zhu et al [8] classified earlier works in their review papers.…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Model for Scheduling Elective Surgeries for Minimizing the Waiting Times in Emergency Surgeries

Yazdi

Zandieh

Haleh

2020

IJE

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The ever-increasing demands for surgeries and the limited resources force hospitals to have efficient management of resources, especially the expensive ones like operating rooms (ORs). Scheduling surgeries including sequencing them, assigning resources to them and determining their start times is a complicated task for hospital managers. Surgery referrals usually include elective surgeries that are admitted before the planning horizon of the schedule and emergency surgeries that arrive during this horizon and require fast services. In this paper, we presented a mathematical model for scheduling electives and emergencies. In our model, we considered surgeries as projects with multi-activities. We implemented the Break-in-Moments (BIMs) technique in this structure, which to our best knowledge has not been implemented in the literature before. We examined this method with real data from a medium-sized Norwegian hospital and observed that this method reduces the waiting time of emergencies to be inserted into the schedule without dedicating any OR merely to emergencies. In such a way, this method counterbalances between efficient OR usage and responsiveness for emergency surgeries.

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Operating room planning and surgical case scheduling: a review of literature

Cited by 159 publications

References 213 publications

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

Identifying Integration and Differentiation in a Hospital’s Logistical System: A social network analysis of a case study

A Mathematical Model for Scheduling Elective Surgeries for Minimizing the Waiting Times in Emergency Surgeries

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