Scheduling operating rooms with consideration of all resources, post anesthesia beds and emergency surgeries

Latorre-Núñez, Guillermo; Lüer-Villagra, Armin; Marianov, Vladimir; Obreque, Carlos; Ramis, Francisco; Neriz, Liliana

doi:10.1016/j.cie.2016.05.016

Cited by 74 publications

(30 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Results indicated that assigning longer procedures at the start of shifts may significantly compromise OR performance measures. Other authors propose the integration of OR downstream and upstream facilities in the scheduling model; while some analyze variables related to PACU bed and resources availability, and the capacity of supporting areas individually [ 32 , 33 ], others aimed at considering those variables simultaneously to best reproduce the operation of an ST [ 4 , 13 ]. However, a reduced number of studies proposed scheduling models taking into account the availability of resources such as surgical kits, equipment and personnel in STs with limited resources.…”

Section: Discussionmentioning

confidence: 99%

“…Each machine is able to handle one product/task at a time, and each product/task is processed by only one machine at each stage. Translating the HFS to an ST, each task (surgery) is assigned to a single machine (OR) belonging to a group of parallel machines in stage 1, and to a single machine (PACU bed) from a group of parallel machines in stage 2 [ 4 ]. There is a known processing time for each task as well as additional resources, which must be taken into account when generating the final schedule.…”

Section: Methodsmentioning

confidence: 99%

“…Few studies propose SCS models that include all resources involved in the operation of STs; i.e. models that consider the integration of the OR downstream and upstream facilities and resources [ 4 , 11 ]. In addition, the majority of studies validated their propositions using simulated data or simplified ST instances.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Surgery scheduling heuristic considering OR downstream and upstream facilities and resources

Calegari

Fogliatto

Lucini

et al. 2020

BMC Health Serv Res

View full text Add to dashboard Cite

Background Surgical theater (ST) operations planning is a key subject in the healthcare management literature, particularly the scheduling of procedures in operating rooms (ORs). The OR scheduling problem is usually approached using mathematical modeling and made available to ST managers through dedicated software. Regardless of the large body of knowledge on the subject, OR scheduling models rarely consider the integration of OR downstream and upstream facilities and resources or validate their propositions in real life, rather using simulated scenarios. We propose a heuristic to sequence surgeries that considers both upstream and downstream resources required to perform them, such as surgical kits, post anesthesia care unit (PACU) beds, and surgical teams (surgeons, nurses and anesthetists). Methods Using hybrid flow shop (HFS) techniques and the break-in-moment (BIM) concept, the goal is to find a sequence that maximizes the number of procedures assigned to the ORs while minimizing the variance of intervals between surgeries’ completions, smoothing the demand for downstream resources such as PACU beds and OR sanitizing teams. There are five steps to the proposed heuristic: listing of priorities, local scheduling, global scheduling, feasibility check and identification of best scheduling. Results Our propositions were validated in a high complexity tertiary University hospital in two ways: first, applying the heuristic to historical data from five typical ST days and comparing the performance of our proposed sequences to the ones actually implemented; second, pilot testing the heuristic during ten days in the ORs, allowing a full rotation of surgical specialties. Results displayed an average increase of 37.2% in OR occupancy, allowing an average increase of 4.5 in the number of surgeries performed daily, and reducing the variance of intervals between surgeries’ completions by 55.5%. A more uniform distribution of patients’ arrivals at the PACU was also observed. Conclusions Our proposed heuristic is particularly useful to plan the operation of STs in which resources are constrained, a situation that is common in hospital from developing countries. Our propositions were validated through a pilot implementation in a large hospital, contributing to the scarce literature on actual OR scheduling implementation.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Surgery scheduling heuristic considering OR downstream and upstream facilities and resources

Calegari

Fogliatto

Lucini

et al. 2020

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…Van Essen et al [26] considered emergency surgeries which will be performed immediately after ongoing surgery was completed and surgery duration was assumed to be stochastic. Latorre et al [27] further integrated emergency surgeries and restraint of beds together. They developed a metaheuristic based on a genetic algorithm to solve the proposed integer linear programming model.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiple Due Time Surgical Scheduling With Truncated Learning and Deteriorating Effect

Song¹,

Zhang²,

Zhu³

2019

IEEE Access

View full text Add to dashboard Cite

The surgical scheduling problem that incorporates the surgical duration, the setup time, the turnover time and the due time is studied in this paper. The actual surgical duration is affected by the normal duration, the surgical sequence, the accumulated experience of surgical teams and a controlling parameter. Besides, the surgical duration, the setup time and the turnover time are affected by the deteriorating effect, which means when the start time, the setup time or the turnover time of a surgery is postponed, the actual duration, the actual setup time or the actual turnover time will be prolonged. A schedule problem is formulated to minimize the maximum surgical tardiness. By building and analyzing the surgical scheduling model, each surgical team should operate surgeries according to a non-decreasing order of patients' normal surgical duration. Furthermore, a branch-and-bound algorithm is provided to solve the surgical teams scheduling problem. Our experimental results show the effectiveness and stability of our proposed algorithm. INDEX TERMS Deteriorating effect, surgical scheduling, truncated learning effect, various due times.

show abstract

“…In designing these problems, we use a log-normal distribution to generate random surgery time 14,30,50 so that the mean surgery time is randomly and uniformly one of these values {60,120,180,240} and the standard deviation of surgery duration for log-normal distribution is calculated in μ . CV , in which the coefficient of variability (CV) is randomly and uniformly one of {0.1, 0.2, 0.3}. 50 Also, in order to generate setup times of operating rooms, we take inspiration from the methodology of Latorre-Núñez et al 51 Thereby, if surgery time is less than 90 minutes, between 90 and 150 minutes, or above 150 minutes, the setup time respectively follows uniform distributions in ranges of [15, 25], [25, 40], and [40, 60]. Length of stay in the ICU also follows a uniform distribution with discrete amounts of {1, 2, 3, and 4}.…”

Section: Proposed Solution Approachmentioning

confidence: 99%

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

Hamid

Musavi

et al. 2018

SIMULATION

View full text Add to dashboard Cite

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.

show abstract

Scheduling operating rooms with consideration of all resources, post anesthesia beds and emergency surgeries

Cited by 74 publications

References 33 publications

Surgery scheduling heuristic considering OR downstream and upstream facilities and resources

Surgery scheduling heuristic considering OR downstream and upstream facilities and resources

Multiple Due Time Surgical Scheduling With Truncated Learning and Deteriorating Effect

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

Contact Info

Product

Resources

About