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Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic

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  • Bohui Liang
  • Ayten Turkcan
  • Mehmet Erkan Ceyhan
  • Keith Stuart

Abstract

Due to increasing demand, the oncology clinics have been experiencing higher workloads and increasing delays in laboratory, pharmacy and chemotherapy administration areas. In this study, we worked with an oncology clinic where patients receive chemotherapy treatment. A discrete event simulation model is developed to evaluate the operational performance in the clinic and to identify initiatives for improvement in process flow, scheduling and staffing. A mathematical programming model is developed to generate balanced appointment schedules for oncologist visit and chemotherapy treatment. Our results show that patient waiting times and clinic total working times can be reduced, and a more balanced resource utilisation can be achieved using better scheduling methods.

Suggested Citation

  • Bohui Liang & Ayten Turkcan & Mehmet Erkan Ceyhan & Keith Stuart, 2015. "Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7177-7190, December.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:24:p:7177-7190
    DOI: 10.1080/00207543.2014.988891
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    References listed on IDEAS

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    1. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    2. Marie Matta & Sarah Patterson, 2007. "Evaluating multiple performance measures across several dimensions at a multi-facility outpatient center," Health Care Management Science, Springer, vol. 10(2), pages 173-194, June.
    3. Jonathan C. Woodall & Tracy Gosselin & Amy Boswell & Michael Murr & Brian T. Denton, 2013. "Improving Patient Access to Chemotherapy Treatment at Duke Cancer Institute," Interfaces, INFORMS, vol. 43(5), pages 449-461, October.
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    Cited by:

    1. Wenjuan Fan & Yi Wang & Tongzhu Liu & Guixian Tong, 2020. "A patient flow scheduling problem in ophthalmology clinic solved by the hybrid EDA–VNS algorithm," Journal of Combinatorial Optimization, Springer, vol. 39(2), pages 547-580, February.
    2. Hadid, Majed & Elomri, Adel & Mekkawy, Tarek El & Jouini, Oualid & Kerbache, Laoucine & Hamad, Anas, 2022. "Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Agnetis, Alessandro & Bianciardi, Caterina & Iasparra, Nicola, 2019. "Integrating lean thinking and mathematical optimization: A case study in appointment scheduling of hematological treatments," Operations Research Perspectives, Elsevier, vol. 6(C).
    4. Majed Hadid & Adel Elomri & Regina Padmanabhan & Laoucine Kerbache & Oualid Jouini & Abdelfatteh El Omri & Amir Nounou & Anas Hamad, 2022. "Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling," IJERPH, MDPI, vol. 19(23), pages 1-34, November.
    5. Nur Banu Demir & Serhat Gul & Melih Çelik, 2021. "A stochastic programming approach for chemotherapy appointment scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 112-133, February.
    6. Marynissen, Joren & Demeulemeester, Erik, 2019. "Literature review on multi-appointment scheduling problems in hospitals," European Journal of Operational Research, Elsevier, vol. 272(2), pages 407-419.
    7. 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.
    8. A. G. Leeftink & I. M. H. Vliegen & E. W. Hans, 2019. "Stochastic integer programming for multi-disciplinary outpatient clinic planning," Health Care Management Science, Springer, vol. 22(1), pages 53-67, March.
    9. Pilar I. Vidal-Carreras & Julio J. Garcia-Sabater & Juan A. Marin-Garcia, 2022. "Applying Value Stream Mapping to Improve the Delivery of Patient Care in the Oncology Day Hospital," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    10. Namakshenas, Mohammad & Mazdeh, Mohammad Mahdavi & Braaksma, Aleida & Heydari, Mehdi, 2023. "Appointment scheduling for medical diagnostic centers considering time-sensitive pharmaceuticals: A dynamic robust optimization approach," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1018-1031.
    11. M. Heshmat & A. Eltawil, 2021. "Solving operational problems in outpatient chemotherapy clinics using mathematical programming and simulation," Annals of Operations Research, Springer, vol. 298(1), pages 289-306, March.
    12. Hesaraki, Alireza F. & Dellaert, Nico P. & de Kok, Ton, 2019. "Generating outpatient chemotherapy appointment templates with balanced flowtime and makespan," European Journal of Operational Research, Elsevier, vol. 275(1), pages 304-318.
    13. Mona Issabakhsh & Seokgi Lee & Hyojung Kang, 2021. "Scheduling patient appointment in an infusion center: a mixed integer robust optimization approach," Health Care Management Science, Springer, vol. 24(1), pages 117-139, March.
    14. 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.
    15. Linda Watson & Siwei Qi & Andrea DeIure & Claire Link & Lindsi Chmielewski & April Hildebrand & Krista Rawson & Dean Ruether, 2021. "Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes," IJERPH, MDPI, vol. 18(16), pages 1-11, August.

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