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Master chemotherapy planning and clinicians rostering in a hospital outpatient cancer centre

Author

Listed:
  • Giuliana Carello

    (Informazione e Bioingegneria Politecnico di Milano Via Ponzio 34)

  • Paolo Landa

    (Département d’opérations et systèmes de décision Faculté des sciences de l’administration Université Laval 2325)

  • Elena Tànfani

    (Università degli studi di Genova)

  • Angela Testi

    (Università degli studi di Genova
    Accademia per il Management in Sanità Università degli studi di Genova v.le Benedetto XV, 6)

Abstract

In the past years, the number of patients in need of chemotherapy treatments has been constantly increasing. Chemotherapy treatments must be carefully planned to provide a suitable and timely care. They are often provided within an outpatient setting. Clinicians and nurses staff must face the increasing demand for chemotherapy treatment with limited resources, such as exam rooms, beds, and seats. In this work, we consider a cancer centre shared among different oncologist specialties, as suggested by the Organisation of European Cancer Institutes. We focus on the oncologist visit that each patient must undergo before the drug infusion, to check if the patient’s conditions are compatible with the drug infusion. We consider the problem of planning the weekly assignment of consultation rooms to cancer pathologies, referred to as Master Chemotherapy Planning. Further, we jointly address the problem of selecting a clinician with suitable skills to cover each consultation room in the weekly schedule, given the cliniciansávailability over a month. Several criteria are considered, such as the number of visits in overtime, the amount of met demand and the clinicians’ workload. The problem is formulated as a lexicographic multiobjective optimisation problem and solved using a sequence of MIP models. Further, we propose a rolling horizon approach to tackle a long planning horizon up to one year, aiming also at keeping the changes of weekly plans from one month to the other as small as possible. The models and rolling horizon procedure are tested on real data from an Italian hospital.

Suggested Citation

  • Giuliana Carello & Paolo Landa & Elena Tànfani & Angela Testi, 2022. "Master chemotherapy planning and clinicians rostering in a hospital outpatient cancer centre," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 159-187, March.
  • Handle: RePEc:spr:cejnor:v:30:y:2022:i:1:d:10.1007_s10100-021-00786-x
    DOI: 10.1007/s10100-021-00786-x
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    References listed on IDEAS

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    1. Thierry Garaix & Salim Rostami & Xiaolan Xie, 2020. "Daily outpatient chemotherapy appointment scheduling with random deferrals," Flexible Services and Manufacturing Journal, Springer, vol. 32(1), pages 129-153, March.
    2. Guillaume Lamé & Oualid Jouini & Julie Stal-Le Cardinal, 2016. "Outpatient Chemotherapy Planning: a Literature Review with Insights from a Case Study," Post-Print hal-01324488, HAL.
    3. Menel Benzaid & Nadia Lahrichi & Louis-Martin Rousseau, 2020. "Chemotherapy appointment scheduling and daily outpatient–nurse assignment," Health Care Management Science, Springer, vol. 23(1), pages 34-50, March.
    4. Alireza F. Hesaraki & Nico P. Dellaert & Ton Kok, 2020. "Integrating nurse assignment in outpatient chemotherapy appointment scheduling," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 935-963, December.
    5. Shoshana Hahn-Goldberg & Michael Carter & J. Beck & Maureen Trudeau & Philomena Sousa & Kathy Beattie, 2014. "Dynamic optimization of chemotherapy outpatient scheduling with uncertainty," Health Care Management Science, Springer, vol. 17(4), pages 379-392, December.
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