Analysing management policies for operating room planning using simulation

Persson, Marie; Persson, Jan

doi:10.1007/s10729-009-9122-y

Cited by 84 publications

(50 citation statements)

References 20 publications

(24 reference statements)

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“…Constraint (30) checks that for each patient the recovery phase begins after completion of the surgery and also awaking the patient in the operating room. Formula (31) ensures that the waking the patient time in operating room is shorter than the stabilization time of the patient's condition in recovery. Constraints (32) to (36) ensure the patient's priority to entrance to waiting room and operating room.…”

Section: Mathematical Model To Reschedule For the Remaining Patients mentioning

confidence: 99%

“…Capacity decisions include determining combination of the number of operating rooms that must be opened and the amount of overtime (to meet demand). It is a certain decision model for elective patients.Also Baumgart et al (2007) and Persson and Persson (2010) have used the simulation models as a tool to improve strategic and operational decision making in the delivery of services for the management and planning of surgical procedures in the operating room. Testi et al (2007) in a certain case where the type of patients is unknown, have developed a three-step approach for the operating room weekly scheduling.…”

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Stochastic Reactive Scheduling Model for Operating Rooms Considering the Moral and Human Virtues

Gerami¹

2017

Appl Ecol Env Res

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Gerami -Saidi-Mehrabad: Stochastic reactive scheduling model for operating rooms considering the moral and human virtues - STOCHASTIC REACTIVE SCHEDULING MODEL FOR OPERATING ROOMS CONSIDERING THE MORAL AND HUMAN VIRTUESGERAMI, F. * -SAIDI-MEHRABAD, M. Science and Technology Narmak, Tehran, *Corresponding author e-mail: geramifarzad@yahoo.com (phone: +98-31-3651-8673; fax: +98-31-3651-6098) (Received 18 th Aug 2016; accepted 15 th Nov 2016) Abstract. This study focuses on the issue of reactive scheduling for the operating room under the uncertain, arrival non-elective patients (emergency or urgent). For this a reactive rescheduling algorithm was proposed and also for steps of algorithm, several stochastic mixed integer programming models were developed. In these models, all duration, such as length of stay in the waiting room, the length of stay in the recovery room, surgery time, operating room preparation time, patient preparation time after anesthesia, patient awake time before transferring to the recovery room and operating room cleaning time are stochastic. The fact that this model is a chance-constraint problem, it looks very complex. In addition to financial goals (overtime, idle time), the important approach in this research is moral and humanitarian objectives such as patient satisfaction, justice, individual freedom, patient rights and medical ethics. In mathematical schedule models, we consider three level of patient's priority (F p 1 , F p 2 , F p 3 ). Based on these moral and human dimensions, the decision maker can prioritize patients. Restrictions on parts before (waiting room) and after (PACU) the operation room are also included in the mathematical models. For the evaluation of the proposed model the actual data related to the surgical center of a first-class hospital has been used. Keywords: humanitarian objectives, operating room, surgeries rescheduling, stochastic mixed integer programming, chance-constraint problems Department of Industrial Engineering, Iran University of IntroductionA large share of the costs and revenues of a hospital is related to operating rooms. Therefore, increasing productivity within the operating rooms has a significant impact on the ultimate performance of a hospital. Improved performance in operating rooms also increases economic indicators, rate of services and patients' satisfaction.Operating room scheduling problem is a special mode of the optimization problem. A lot of researches have been done on the optimization. Hajnal et al. (2007), Kaur (2007) and Tolner (2008) are tree good example. Operating room scheduling problem has some special features that have complicated the problem. Some of these features are: ethical and human relationship between the surgeon, patient and nurse;  human factor (surgeon, patient and nurse) satisfaction;  patient rights prism;  the principles of medical ethics; and  justice. For this reason, recently, attention has been given to research in the field of operating room planning and scheduling. Researches related ...

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Section: Mathematical Model To Reschedule For the Remaining Patients mentioning

confidence: 99%

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confidence: 99%

Stochastic Reactive Scheduling Model for Operating Rooms Considering the Moral and Human Virtues

Gerami¹

2017

Appl Ecol Env Res

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“…Patient flows, bed occupancy levelling, length of stay (LOS) modelling, scheduling of surgeries are one of the most important issues. For example, in Persson and Persson (2010) a discrete event model shows how different management policies affect different performance metrics, such as patient waiting time, cancellations and the utilization of the OR. However the model does not allow social metrics.…”

Section: Introductionmentioning

confidence: 99%

Operating theatre modelling: integrating social measures

Huele

Vanhoucke

2015

Journal of Simulation

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Hospital resource modelling literature is primarily focussed on productivity and efficiency measures. In this paper, our focus is on the alignment of the most valuable revenue factor, the operating room (OR) with the most valuable cost factor, the staff. When aligning these economic and social decisions, respectively, into one sustainable model, simulation results justify the integration of these factors. This research shows that integrating staff decisions and OR decisions results in better solutions for both entities. A discrete event simulation approach is used as a performance test to evaluate an integrated and an iterative model. Experimental analysis show how our integrated approach can benefit the alignment of the planning of the human resources as well as the planning of the capacity of the OR based on both economic related metrics (lead time, overtime, number of patients rejected) and social related metrics (personnel preferences, aversions, roster quality).

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“…When allocating operating time capacity to elective cases, a portion of total operating time capacity is reserved for emergency cases, which arrive randomly [196]. Staff overtime is the result when the reserved capacity is insufficient to serve all arriving emergency patients, but resource idle time increases when too much capacity is reserved, causing growth in elective waiting lists [57,307,308,396,536]. Capacity can be reserved by dedicating one or more operating rooms to emergency cases, or by reserving capacity in elective operating rooms [84,306,444].…”

Section: Tactical Planningmentioning

confidence: 99%

“…Methods: computer simulation [57,140,143,144,307,396,533], heuristics [31,32,33,462,501], Markov processes [196,492,493,536] Temporary capacity change. Available resource capacity could be temporarily changed in response to fluctuations in demand [334].…”

Section: Tactical Planningmentioning

confidence: 99%

Integrated decision making in healthcare : an operations research and management science perspective

Hulshof¹

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Analysing management policies for operating room planning using simulation

Cited by 84 publications

References 20 publications

Stochastic Reactive Scheduling Model for Operating Rooms Considering the Moral and Human Virtues

Stochastic Reactive Scheduling Model for Operating Rooms Considering the Moral and Human Virtues

Operating theatre modelling: integrating social measures

Integrated decision making in healthcare : an operations research and management science perspective

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