Non-block scheduling with priority for radiotherapy treatments

Conforti, Domenico; Guerriero, Francesca; Guido, Rosita

doi:10.1016/j.ejor.2009.02.016

Cited by 67 publications

(44 citation statements)

References 17 publications

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“…The problem of scheduling radiotherapy in Italy reported in Conforti's work, [1], consists in finding a feasible plan for N patients per week. He classifies patients according to a priority level: A, B, C and D, from the most urgent to the least urgent.…”

Section: The Radiotherapy Scheduling Problem In Italymentioning

confidence: 99%

GeneRa: A problem generator for radiotherapy treatment scheduling problems

Cares¹,

Riff²,

Neveu³

2016

Ann Math Artif Intell

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International audienceRadiotherapy scheduling problems are hard constrained problems that involve many resources including doctors, patients and machines. These problems are different according to the country, and can even vary among institutions in the same country. Due to the lack of standard benchmarks, the algorithms proposed in the literature are very specific and they are not easily comparable or adaptable. We describe the radiotherapy scheduling problem in different countries in order to identify common components. Our goal in this paper is to provide a configurable benchmark generator for this problem that is able to take into account the specific characteristics inherent to each country and institution. The benchmark generator is available online

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Section: The Radiotherapy Scheduling Problem In Italymentioning

confidence: 99%

GeneRa: A problem generator for radiotherapy treatment scheduling problems

Cares¹,

Riff²,

Neveu³

2016

Ann Math Artif Intell

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show abstract

“…Conforti et al (2010) provide an integer program and solve it using exact methods. Petrovic, Morshed, et al (2011) compare the performance of different genetic algorithms to solve their multi-objective optimisation and find that the algorithm prioritising emergency patients performs best overall.…”

Section: Radiotherapy Schedulingmentioning

confidence: 99%

“…The authors of these treatment scheduling papers use a variety of approaches (Conforti et al, 2010;Legrain et al, 2015;Petrovic, Morshed, et al, 2011;Sauré et al, 2012). Conforti et al (2010) provide an integer program and solve it using exact methods.…”

Section: Radiotherapy Schedulingmentioning

confidence: 99%

“…Some of these tackle the offline problem (Petrovic, Morshed, & Petrovic, 2011), whereas Sauré, Patrick, Tyldesley, and Puterman (2012) and Legrain, Fortin, Lahrichi, and Rousseau (2015) solve the online problem, where appointment requests are scheduled as they arrive. Objective functions involve minimising days waiting to start treatment (Conforti, Guerriero, & Guido, 2010;Legrain et al, 2015;Petrovic, Morshed, et al, 2011;Sauré et al, 2012), days overdue to start treatment (Legrain et al, 2015;Petrovic, Morshed, et al, 2011), overtime (Legrain et al, 2015;Sauré et al, 2012) and booking decisions postponed (Sauré et al, 2012). All these papers consider patients with different priorities, for example, curative and palliative groups.…”

Section: Radiotherapy Schedulingmentioning

confidence: 99%

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Operational research techniques applied throughout cancer care services: a review

2018

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Cancer is a disease affecting increasing numbers of people. In the UK, the proportion of people affected by cancer is projected to increase from 1 in 3 in 1992, to nearly 1 in 2 by 2020. Health services to tackle cancer can be grouped broadly into prevention, diagnosis, staging, and treatment. We review examples of Operational Research (OR) papers addressing decisions encountered in each of these areas. In conclusion, we find many examples of OR research on screening strategies, as well as on treatment planning and scheduling. On the other hand, our search strategy uncovered comparatively few examples of OR models applied to reducing cancer risks, optimising diagnostic procedures, and staging. Improvements to cancer care services have been made as a result of successful OR modelling. There is potential for closer working with clinicians to enable the impact of other OR studies to be of greater benefit to cancer sufferers. ARTICLE HISTORY

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“…The appointment series have to fit in the existing appointment schedules, which are partly filled with already scheduled appointments. Examples of patients that require appointment series are radiotherapy patients [109,110,111] and rehabilitation patients [100]. Methods: heuristics [100,397,509], Markov processes [230,391,509], mathematical programming [109,110,111].…”

Section: Offline Operational Planningmentioning

confidence: 99%

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

Hulshof¹

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Non-block scheduling with priority for radiotherapy treatments

Cited by 67 publications

References 17 publications

GeneRa: A problem generator for radiotherapy treatment scheduling problems

GeneRa: A problem generator for radiotherapy treatment scheduling problems

Operational research techniques applied throughout cancer care services: a review

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

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