Software Tool for Operating Room Scheduling in a Spanish Hospital Department

Clavel, Daniel; Botez, Diana; Mahulea, Cristian; Albareda, Jorge

doi:10.1109/icstcc.2018.8540764

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…This paper proposes first an Mixed Integer Quadratic Constrained Programming problem for performing the scheduling of patients based on the three criteria presented before. It is well known that the computational complexity to obtain the optimal solution is high and a heuristic method is proposed called Specific Heuristic Algorithm (SHA) [12]. The software tool, in addition to helping doctors in the scheduling task, has also been developed for managing medical doctors, medical teams, OR timetable, and patients.…”

Section: Introductionmentioning

confidence: 99%

“…A preliminary version of this work has been reported in [12] where a first version of the SHA has been proposed. In this paper, the heuristic SHA is improved by adding a post arranging of the time scheduled blocks.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the previously described DSS, a Software tool for scheduling elective patients in Spanish Hospitals called CIPLAN has been developed. A first version of this software was described in [12]. CIPLAN has been developed in JAVA language and has a SQL database.…”

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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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

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Healthcare scheduling in optimization context: a review

et al. 2021

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This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients’ admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

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Software Tool for Operating Room Scheduling in a Spanish Hospital Department

Cited by 2 publications

References 7 publications

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

Healthcare scheduling in optimization context: a review

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