Reducing elective general surgery cancellations at a Canadian hospital

Azari-Rad, Solmaz; Yontef, Alanna L.; Aleman, Dionne M.; Urbach, David R.

doi:10.1503/cjs.018411

Cited by 34 publications

(36 citation statements)

References 19 publications

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“…Unfortunately, this study did not explore length of stay itself as an outcome 78 However, the multiplicity of factors that impact a patient's length of stay means that firmly and reliably linking a simulation intervention to this outcome will remain a significant challenge.…”

Section: Does Simulator Training Lead To Improved Patient Outcomes Smentioning

confidence: 99%

An overview of research priorities in surgical simulation: what the literature shows has been achieved during the 21st century and what remains

Johnston

Paige

Aggarwal

et al. 2016

The American Journal of Surgery

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Section: Does Simulator Training Lead To Improved Patient Outcomes Smentioning

confidence: 99%

An overview of research priorities in surgical simulation: what the literature shows has been achieved during the 21st century and what remains

Johnston

Paige

Aggarwal

et al. 2016

The American Journal of Surgery

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“…Recently, Ferrand et al [96] have researched a setting with a combination of dedicated and flexible ORs and show that it outperforms, in terms of patient waiting time and OR overtime, both the settings with shared ORs as well as the ones Table 3 The type of patient that is considered in articles is not always specified and, especially for the elective patient case, it is not always clear whether an inpatient or outpatient setting is researched Elective Inpatient [1,2,12,13,14,15,21,22,24,33,35,40,41,47,49,57,59,69,85,88,98,101,104,111,123,132,135,136,144,146,155,156,164,165,166,175,176,177,182,188,189,190,201,206,211,212,214,224,233,234,…”

Section: Patient Characteristicsmentioning

confidence: 99%

Scheduling operating rooms: achievements, challenges and pitfalls

Samudra

Riet

Demeulemeester

et al. 2016

J Sched

171

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In hospitals, the operating room (OR) is a particularly expensive facility and thus efficient scheduling is imperative. This can be greatly supported by using advanced methods that are discussed in the academic literature. In order to help researchers and practitioners to select new relevant articles, we classify the recent OR planning and scheduling literature into tables using patient type, used performance measures, decisions made, OR supporting units, uncertainty, research methodology and testing phase. Additionally, we identify promising practices and trends and recognize common pitfalls when researching OR scheduling. Our findings indicate, among others, that it is often unclear whether an article mainly targets researchers and thus contributes advanced methods or targets practitioners and consequently provides managerial insights. Moreover, many performance measures (e.g., overtime) are not always used in the correct context. Furthermore, we see that important information that would allow readers to determine whether the reported research results are relevant to them is often missing. In order to avoid these pitfalls, we conclude that researchers need to state whether they target researchers or practitioners, motivate the choice of the used performance measures and mention both setting and method specific assumptions.

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“…For instance, in their setting, electives are scheduled into regular OR time, whereas non-electives are scheduled into regular and slack time. In our setting, non-electives are not being scheduled since they either need to be served immediately (DT category 1), in which case scheduling is obsolete, or they can wait (DT categories 2 and 3), in which case they generally will, as in Azari-Rad et al [3], be served in an OR of the corresponding discipline after the last elective of the day has been served.…”

Section: Problem Description and Literature Reviewmentioning

confidence: 99%

Due time driven surgery scheduling

Samudra¹,

Demeulemeester²,

Cardoen

et al. 2016

Health Care Manag Sci

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In many hospitals there are patients who receive surgery later than what is medically indicated. In one of Europe's largest hospitals, the University Hospital Leuven, this is the case for approximately every third patient. Serving patients late cannot always be avoided as a highly utilized OR department will sometimes suffer capacity shortage, occasionally leading to unavoidable delays in patient care. Nevertheless, serving patients late is a problem as it exposes them to an increased health risk and hence should be avoided whenever possible.In order to improve the current situation, the delay in patient scheduling had to be quantified and the responsible mechanism, the scheduling process, had to be better understood. Drawing from this understanding, we implemented and tested realistic patient scheduling methods in a discrete event simulation model.We found that it is important to model non-elective arrivals and to include elective rescheduling decisions made on surgery day itself. Rescheduling ensures that OR related performance measures, such as overtime, will only loosely depend on the chosen patient scheduling method.We also found that capacity considerations should guide actions performed before the surgery day such as patient scheduling and patient replanning. This is the case as those scheduling strategies that ensure that

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Reducing elective general surgery cancellations at a Canadian hospital

Cited by 34 publications

References 19 publications

An overview of research priorities in surgical simulation: what the literature shows has been achieved during the 21st century and what remains

An overview of research priorities in surgical simulation: what the literature shows has been achieved during the 21st century and what remains

Scheduling operating rooms: achievements, challenges and pitfalls

Due time driven surgery scheduling

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