Scheduling elective patients based on sequence-dependent setup times in an open-heart surgical department using an optimization and simulation approach

Abstract

The surgery ward is the most expensive and profitable section of a hospital. The decisions made in this section therefore produce significant effects on the overall performance of the hospital. Planning and scheduling of the surgeries in the operating rooms would obviously lead to the enhancement of the performance of the operating rooms. The setup time of the operating rooms is a very important factor in initiating next surgeries and consequently in the scheduling of elective patients. The preparation time is usually affected by the sequence of the surgeries, especially in critical and longer surgeries, such as open-heart surgeries. In this study, a two-stage procedure is applied to improve the performance of the open-heart surgical department. In the first stage, a mathematical model is proposed for planning and scheduling of the surgeries in the open-heart surgery ward, considering the sequence-dependent setup times. In the next stage, an estimation of the optimum number of intensive care unit beds is provided using the discrete event simulation method. Finally, using a real-life example, the applicability of the proposed model is demonstrated and an analysis of the effect of the recommended number of intensive care unit beds—extracted from the simulation model—on the performance of the surgical theater is performed.

Simulation modeling and analysis of primary health center operations

“…The model traced the treatment pathway of each patient through different departments – ED, IPD, and OPD. Hamid et al 42 focus on patients requiring elective open-heart surgery and develop a two-stage optimization and simulation approach to first mathematically determine optimal surgery schedules for the operating room, and then using DES determine the minimum number of beds in the downstream ICU to ensure an adequate patient service level. Of the second type, Lowery 43 developed a simulation model of a tertiary care hospital with a focus on the surgical suite and critical care area.…”

Operating room planning and scheduling for outpatients and inpatients: A review and future research

“…Lognormal [6,20,41,63,68,69,74,88,100,101,112,113,117,119,122,132,133,139,147,148,167,169,173,175,176,179,182,183,188,192,201,203,204,[206][207][208][209] Poisson [2,13,36,52,53,63,74,80,88,101,103,109,118,121,130,…”

Improving service efficiency and throughput of cardiac surgery patients using Monte Carlo simulation: a queueing setting

“…Because of that, their optimal and efficient management has become one of the challenges of governments and health sector managers in recent decades 45 . Many studies have used analytical and simulation methods to solve some of the problems in this field 20,30,32,36,38,46,47 . Whatever the complexity of the systems increases, analytical models are not responsive because they fail to capture the details.…”