Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review

Harris, Sean; Chipperfield, David

doi:10.1007/s43069-022-00134-y

Cited by 6 publications

(12 citation statements)

References 234 publications

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“…There was a systematic evaluation plan for the block assignment models that altered the run times and weights for the two components in the objective function, resulting in 24 total instances for models 1A–1D and model 2 8 . Model 3 only had nine instances due the two phase formulation reducing the ways parameters could be varied 8 .…”

Section: Resultsmentioning

confidence: 99%

“…Cardoen et al, 2 4 As a part of a larger study, we reviewed 246 OR scheduling papers from 2015 to 2020, of which 67 (27%) used a simulation model. 15 However, none of these simulation models incorporated the SPD. 15 There are a handful of papers that developed simulation models of an SPD.…”

Section: Literature Reviewmentioning

confidence: 99%

“…15 However, none of these simulation models incorporated the SPD. 15 There are a handful of papers that developed simulation models of an SPD. These papers used simulation to improve process efficiency or explore alternative workflow and design configurations within the SPD.…”

Section: Literature Reviewmentioning

confidence: 99%

“…DES was used in approximately 40% of all operations research‐based OR scheduling papers from 2004 to 2014 4 . As a part of a larger study, we reviewed 246 OR scheduling papers from 2015 to 2020, of which 67 (27%) used a simulation model 15 . However, none of these simulation models incorporated the SPD 15 …”

Section: Introductionmentioning

confidence: 99%

“…As a part of a larger study, we reviewed 246 OR scheduling papers from 2015 to 2020, of which 67 (27%) used a simulation model 15 . However, none of these simulation models incorporated the SPD 15 …”

Section: Introductionmentioning

confidence: 99%

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Simulating a sterilization processing department to evaluate block schedules and tray configurations

Harris

Nino

Chipperfield

2023

Systems Engineering

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Discrete event simulation is a well‐established tool for examining the effect of different operating room (OR) block schedules on various performance metrics within the OR suite and adjacent units. However, one unit that has rarely been studied is the sterilization processing department (SPD), which cleans and assembles reusable OR instruments. As part of a larger research study, we developed a series of OR block assignment models that sought to reduce the workload of the SPD and developed a tray optimization model to reduce the number of instruments on increasingly bloated instrument trays. While initial numerical experiments were promising, a comprehensive simulation model of the OR and SPD was needed to more thoroughly examine how potential changes to the block schedule and/or more efficient tray configurations could improve SPD processing times. In this article, we incorporate the SPD into an existing simulation model of an OR suite, which is the first of its kind, and examine the effect that different block schedules and tray configurations have on SPD processing times. Simulation results confirm earlier numerical computations. Furthermore, simulation results suggest that more efficient instrument tray configurations are a much better and more viable method for improving SPD processing time than reconfiguring block schedules.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulating a sterilization processing department to evaluate block schedules and tray configurations

Harris

Nino

Chipperfield

2023

Systems Engineering

Self Cite

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Operating room scheduling with surgical team: a new approach with constraint programming and goal programming

Gür¹,

Pınarbaşı

Alakaş

et al. 2022

Cent Eur J Oper Res

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Leveraging the potential of the German operating room benchmarking initiative for planning: A ready-to-use surgical process data set

Korzhenevich,

Zander

2024

Health Care Manag Sci

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We present a freely available data set of surgical case mixes and surgery process duration distributions based on processed data from the German Operating Room Benchmarking initiative. This initiative collects surgical process data from over 320 German, Austrian, and Swiss hospitals. The data exhibits high levels of quantity, quality, standardization, and multi-dimensionality, making it especially valuable for operating room planning in Operations Research. We consider detailed steps of the perioperative process and group the data with respect to the hospital’s level of care, the surgery specialty, and the type of surgery patient. We compare case mixes for different subgroups and conclude that they differ significantly, demonstrating that it is necessary to test operating room planning methods in different settings, e.g., using data sets like ours. Further, we discuss limitations and future research directions. Finally, we encourage the extension and foundation of new operating room benchmarking initiatives and their usage for operating room planning.

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Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review

Cited by 6 publications

References 234 publications

Simulating a sterilization processing department to evaluate block schedules and tray configurations

Simulating a sterilization processing department to evaluate block schedules and tray configurations

Operating room scheduling with surgical team: a new approach with constraint programming and goal programming

Leveraging the potential of the German operating room benchmarking initiative for planning: A ready-to-use surgical process data set

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