Optimization models for radiotherapy patient scheduling

Conforti, Domenico; Guerriero, Francesca; Guido, Rosita

doi:10.1007/s10288-007-0050-8

Cited by 93 publications

(59 citation statements)

References 13 publications

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“…In contrast, Conforti et al [7] objective was to maximize the number of patients that undergo radiotherapy treatment by using integer linear programming. This study considered numerous constraints to arrive as close as possible to measuring the reality of the patient path including patient priority, duration of treatment and follow up outpatient scheduling.…”

Section: Patient Schedulingmentioning

confidence: 99%

Modeling the critical care pathway for cardiothoracic surgery

Bahou

Fenwick

Anderson

et al. 2017

Health Care Manag Sci

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The west of Scotland heart and lung center based at the Golden Jubilee National Hospital houses all adult cardiothoracic surgery for the region. Increased demand for scheduled patients and fluctuations in emergency referrals resulted in increasing waiting times and patient cancellations. The main issue was limited resources, which was aggravated by the stochastic nature of the length of stay (LOS) and arrival of patients. Discrete event simulation (DES) was used to assess if an enhanced schedule was sufficient, or more radical changes, such as capacity or other resource reallocations should be considered in order to solve the problem. Patients were divided into six types depending on their condition and LOS at the different stages of the process. The simulation model portrayed each patient type's pathway with sufficient detail. Patient LOS figures were analyzed and distributions were formed from historical data, which were then used in the simulation. The model proved successful as it showed figures that were close to actual observations. Acquiring results and knowing exactly when and what caused a cancellation was another strong point of the model. The results demonstrated that the bottleneck in the system was related to the use of High Dependency Unit (HDU) beds, which were the recovery beds used by most patients. Enhancing the schedule by leveling out the daily arrival of patients to HDUs reduced patient cancellations by 20%. However, coupling this technique with minor capacity reallocations resulted in more than 60% drop in cancellations.

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Section: Patient Schedulingmentioning

confidence: 99%

Modeling the critical care pathway for cardiothoracic surgery

Bahou

Fenwick

Anderson

et al. 2017

Health Care Manag Sci

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“…Methods have been developed for planning series of appointments for radiotherapy [4,19] and chemotherapy [20] outpatients. For these patients, radiation treatments must be scheduled during a given number of weeks, strictly taking into account the required rest periods.…”

Section: Literaturementioning

confidence: 99%

“…As in many health care processes, and rehabilitation in particular, planning deficiencies have a negative impact on both the quality of care and logistical efficiency [1,4]. The multidisciplinary nature of the rehabilitation process complicates planning and control.…”

Section: Introductionmentioning

confidence: 99%

Integral multidisciplinary rehabilitation treatment planning

Braaksma

Kortbeek

Post

et al. 2014

Operations Research for Health Care

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This paper presents a methodology to plan treatments for rehabilitation outpatients. These patients require a series of treatments by therapists from various disciplines. In current practice, when treatments are planned, a lack of coordination between the different disciplines, along with a failure to plan the entire treatment plan at once, often occurs. This situation jeopardizes both the quality of care and the logistical performance.The multidisciplinary nature of the rehabilitation process complicates planning and control. An integral treatment planning methodology, based on an integer linear programming (ILP) formulation, ensures continuity of the rehabilitation process while simultaneously controlling seven performance indicators including access times, combination appointments, and therapist utilization. We apply our approach to the rehabilitation outpatient clinic of the Academic Medical Center (AMC) in Amsterdam, the Netherlands. Based on the results of this case, we are convinced that our approach can be valuable for decision-making support in resource capacity planning and control at many rehabilitation

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“…Let us simply say here that the journal welcomes papers in all areas of OR and that papers in emerging fields of OR are especially welcomed (for the record, we published several papers in vol. 4-6 dealing with the contribution of OR techniques in medical application and especially in the fight against cancer: Błażewicz et al (2006), Conforti et al (2008), Ehrgott et al (2008), Holder and Llagostera (2008)) and de Werra et al (2008).…”

Section: Research Papers Publishedmentioning

confidence: 99%