Patients assignment for an oncology outpatient unit

Sadki, Abdellah; Xie, Xiaolan; Chauvin, Franck

doi:10.1109/coase.2010.5584640

Cited by 11 publications

(6 citation statements)

References 5 publications

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“…All assumptions except (A6) et (A7) are similar to those of our previous works [23,21,22] and we do not repeat justifications presented in our previous relevant publications. Assumption (A6) on the availability of oncologists is only introduced for simplicity of the presentation and may be relaxed later.…”

Section: Assumptionsmentioning

confidence: 72%

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Daily outpatient chemotherapy appointment scheduling with random deferrals

2018

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In this paper we propose a heuristic approach that computes the order in which patients will be treated in an ambulatory chemotherapy center. Each patient follows an individual treatment plan that fixes dates for series of drug injections separated by recovery periods. The daily care process has three steps: consultation with the oncologist, drug preparation in the pharmacy and drug injection in medical beds. The facility closes after the last injection. As drug injection varying considerably in duration -from 15 minutes to 6 hours -bad schedules lead to excessive overtime. In addition, after the consultation the oncologist may decide to cancel the injection because of a weak patient's health condition. In the current setting of the chemotherapy facility we work with, First Come First Served policy controls the care process. In this study, we propose to compute a common priority list of patients for consultation and injection phases. A unique list of patients is a simple tool used by nurses to manage the flow of patients and to react to uncertain events. A GRASP algorithm is developed to compute optimized list of patients in few seconds as the operating planning context requires. Two objectives are considered; the closing time and the overworking time of the facility. Numerical experiments show that our GRASP is able to quickly reach near optimal solutions and that list of patients policy performance is comparable to more complex scheduling policies. Benchmark data sets are built based on historical data of the French chemotherapy facility, ICL in Saint-Étienne.

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Section: Assumptionsmentioning

confidence: 72%

“…Several Monte Carlo optimization approaches were proposed in [21] for determining the chemotherapy day of each new patient. Because of the protocol adherence constraints, the day of the first injection was kept by default for all the following injections.…”

Section: Literature Reviewmentioning

confidence: 99%

Daily outpatient chemotherapy appointment scheduling with random deferrals

2018

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“…As such, scheduling patients for their entire treatment pathway may also be important in these problems. Noticeable research efforts in this field of study can be found in [26,33,34,37,53,59,73,103,104,112,115,117,120,126].…”

Section: Hospital Departmentmentioning

confidence: 99%

Literature review on multi-appointment scheduling problems in hospitals

Marynissen

Demeulemeester

2019

European Journal of Operational Research

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This paper presents a review of the literature on multi-appointment scheduling problems in hospitals. In these problems, patients need to sequentially visit multiple resource types in a hospital setting so they can receive treatment or be diagnosed. Therefore, each patient is assigned a specific path over a subset of the considered resources and each step needs to be scheduled. The main aim of these problems is to let each patient visit the resources in his or her subset within the allotted time to receive timely care. This is important because a delayed diagnosis or treatment may result in adverse health effects. Additionally, with multiappointment scheduling, hospitals have the opportunity to augment patient satisfaction, allowing the patient to visit the hospital less frequently. To structure the growing body of literature in this field and aid researchers in the field, a classification scheme is proposed and used to classify the scientific work on multi-appointment scheduling in hospitals published before the end of 2017.The results show that multi-appointment scheduling problems are becoming increasingly popular. In fact, multi-appointment scheduling problems in hospitals are currently gaining progressively more momentum in the academic literature.

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“…We note that some clinics have the lab test and oncologist visit on the day before infusion [Dobish, 2003, Holmes et al, 2010, Sadki et al, 2010b, Sevinc et al, 2013, while others have them on the same day as infusion [Liang et al, 2015]. The clinic may adopt a mixed policy for these two steps, i.e., scheduling them on the day before or the same day as infusion, depending on individual patient requirements.…”

Section: Accepted Manuscriptmentioning

confidence: 99%