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Appointment and patient scheduling in chemotherapy: a case study in Chilean hospitals

Author

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  • Camila Ramos

    (Pontificia Universidad Católica de Chile)

  • Alejandro Cataldo

    (Pontificia Universidad Católica de Chile)

  • Juan–Carlos Ferrer

    (Pontificia Universidad Católica de Chile)

Abstract

This research addresses a scheduling problem for chemotherapy patients, which is divided in two subproblems: patient scheduling on an infinite horizon and daily patient scheduling. We consider the requirement for available laboratory hours to prepare the medicine for every patient as an additional complexity. A methodology was formulated that addresses the problem in two stages. The first one is based on previous research and implements a scheduling policy for chemotherapy. The result of this first stage is the input for the second stage, which is addressed by generating treatment patterns. The benefits of both stages of the proposed methodology are evaluated for two real cases, one of them in the Chemotherapy Division of Hospital Salvador, and the other in the Cancer Center, of the Clinical Hospital of the Pontificia Universidad Católica de Chile, both in Santiago, Chile. Regarding the costs’ impact, the method proposed manages to reduce 20% and 17% the operational costs in these cases, due to less extra treatment hours needed. On the other hand, the proposed daily scheduling method for patients presents an improvement of 21% and 9% in care slots usage and 22% and 17% in laboratory slots usage for an average demand day, which translates in a reduction of both extra hours used and workday duration, for the case of the Chemotherapy Division and Cancer Center, respectively.

Suggested Citation

  • Camila Ramos & Alejandro Cataldo & Juan–Carlos Ferrer, 2020. "Appointment and patient scheduling in chemotherapy: a case study in Chilean hospitals," Annals of Operations Research, Springer, vol. 286(1), pages 411-439, March.
    • Handle: RePEc:spr:annopr:v:286:y:2020:i:1:d:10.1007_s10479-018-3085-7
    DOI: 10.1007/s10479-018-3085-7
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    References listed on IDEAS

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    1. Alejandro Cataldo & Juan-Carlos Ferrer & Jaime Miranda & Pablo A. Rey & Antoine Sauré, 2017. "An integer programming approach to curriculum-based examination timetabling," Annals of Operations Research, Springer, vol. 258(2), pages 369-393, November.
    2. Yalaoui, Farouk & Chu, Chengbin, 2002. "Parallel machine scheduling to minimize total tardiness," International Journal of Production Economics, Elsevier, vol. 76(3), pages 265-279, April.
    3. Jianzhong Du & Joseph Y.-T. Leung, 1990. "Minimizing Total Tardiness on One Machine is NP-Hard," Mathematics of Operations Research, INFORMS, vol. 15(3), pages 483-495, August.
    4. Alexandre Mazier & Jean-Charles Billaut & Jean-François Tournamille, 2010. "Scheduling preparation of doses for a chemotherapy service," Annals of Operations Research, Springer, vol. 178(1), pages 145-154, July.
    5. Fermín Mallor & Cristina Azcárate, 2014. "Combining optimization with simulation to obtain credible models for intensive care units," Annals of Operations Research, Springer, vol. 221(1), pages 255-271, October.
    6. Hai Jiang & Cynthia Barnhart, 2009. "Dynamic Airline Scheduling," Transportation Science, INFORMS, vol. 43(3), pages 336-354, August.
    7. Guillermo Durán & Mario Guajardo & Jaime Miranda & Denis Sauré & Sebastián Souyris & Andres Weintraub & Rodrigo Wolf, 2007. "Scheduling the Chilean Soccer League by Integer Programming," Interfaces, INFORMS, vol. 37(6), pages 539-552, December.
    8. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    9. Jonathan Patrick & Martin L. Puterman & Maurice Queyranne, 2008. "Dynamic Multipriority Patient Scheduling for a Diagnostic Resource," Operations Research, INFORMS, vol. 56(6), pages 1507-1525, December.
    10. Conforti, D. & Guerriero, F. & Guido, R., 2010. "Non-block scheduling with priority for radiotherapy treatments," European Journal of Operational Research, Elsevier, vol. 201(1), pages 289-296, February.
    11. Warburg, Valdemar & Gotsæd Hansen, Troels & Larsen, Allan & Norman, Hans & Andersson, Erik, 2008. "Dynamic airline scheduling: An analysis of the potentials of refleeting and retiming," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 163-167.
    12. Sauré, Antoine & Patrick, Jonathan & Tyldesley, Scott & Puterman, Martin L., 2012. "Dynamic multi-appointment patient scheduling for radiation therapy," European Journal of Operational Research, Elsevier, vol. 223(2), pages 573-584.
    13. J Patrick & M L Puterman, 2007. "Improving resource utilization for diagnostic services through flexible inpatient scheduling: A method for improving resource utilization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 235-245, February.
    14. Nan Liu & Serhan Ziya & Vidyadhar G. Kulkarni, 2010. "Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 347-364, September.
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    Cited by:

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    3. Marina Johnson & Abdullah Albizri & Serhat Simsek, 2022. "Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis," Annals of Operations Research, Springer, vol. 308(1), pages 275-305, January.

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