[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Log in

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

  • Published:
Central European Journal of Operations Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Alvarado M, Cotton T, Ntaimo L, Pérez E, Carpentier W (2017) Modelling and simulation of oncology clinic operations in discrete event system specification. Simulation 94(2):105–121

    Article  Google Scholar 

  • Amin M, Edge S, Greene FL, Byrd DR, Brookland RK, Washington MK, Gershenwald JE, Compton CC, Hess KR, Sullivan DC, Jessup JM, Brierley JD, Gaspar LE, Schilsky RL, Balch CM, Winchester DP, Asare EA, Madera M, Gress DM, Meyer LR (2017) American Joint Committee on Cancer (AJCC) Cancer staging manual, 8th edn. Springer, New York

    Book  Google Scholar 

  • Andersen AR, Vancroonenburg W, Berghe GV (2019) Strategic room type allocation for nursing wards through markov chain modelling. Artif Intell Med 99(101705)

  • Benzaid M, Lahrichi N, Rousseau L (2020) Chemotherapy appointment scheduling and daily outpatient-nurse assignment. Health Care Manag Sci 23(4):34–50

    Article  Google Scholar 

  • Garaix T, Rostami T, Xie X (2020) Daily outpatient chemotherapy appointment scheduling with random deferrals. Flex Serv Manuf J 32(1):129–153

    Article  Google Scholar 

  • Hahn-Goldberg S, Carter M, Beck J, Trudeau M, Sousa P, Beattie K (2014) Dynamic optimization of chemotherapy outpatient scheduling with uncertainty. Health Care Manag Sci 17(4):379–392

    Article  Google Scholar 

  • Hesaraki A, Dellaert N, de Kok T (2020) Integrating nurse assignment in outpatient chemotherapy appointment scheduling. OR Spectrum 42(4):935–963

    Article  Google Scholar 

  • Hesmat M, Eltawil A (2019) Solving operational problems in outpatient chemotherapy clinics using mathematical programming and simulation. Ann Oper Res 1–18

  • Hillner BE, Smith TJ, Desch CE (2000) Hospital and physician volume or specialization and outcomes in cancer treatment: importance in quality of cancer care. J Clin Oncol 18(11):2327–2340

    Article  Google Scholar 

  • Huang Y, Bryce A, Culbertson T, Connor S, Looker S, Altman K, Collins J, Stellner W, McWilliams R, Moreno-Aspitia A, Ailawadhi S, Mesa R (2018) Alternative outpatient chemotherapy scheduling method to improve patient service quality and nurse satisfaction. J Oncol Pract 14(2):e82–e91

    Article  Google Scholar 

  • Lamé G, Jouini O, Stat-Le-Cardinal J (2016) Outpatient chemotherapy planning: a literature review with insight from a case study. IIE Trans Healthc Syst Eng 6(3):127–139

    Article  Google Scholar 

  • Liang B, Turkcan A (2016) Acuity-based nurse assignment and patient scheduling in oncology clinics. Health Care Manag Sci 19(3):207–226

    Article  Google Scholar 

  • Marynissen J, Demeulemeester E (2020) Literature review on multi-appointment scheduling problems in hospital settings. Eur J Oper Res 272:407–419

    Article  Google Scholar 

  • Oliveira CD, Pataky R, Bremner K, Rangrej J, Chan K, Cheung W, Hoch J, Peacock S, Krahn M (2017) Estimating the cost of cancer care in British Columbia and Ontario: a Canadian inter-provincial comparison. Healthc Policy 12(3):95–108

    Google Scholar 

  • Sadki A, Xie X, Chauvin F (2013) Planning oncologists of ambulatory care units. Decision Support Syst 55(2):640–649

    Article  Google Scholar 

  • Saville C, Smith H, Bijak K (2019) Operational research techniques applied throughout cancer care services: a review. Health Syst 8(1):52–73

    Article  Google Scholar 

  • Society AC (2019) Cancer treatment & survivorship facts & figures 2019–2021. American Cancer Society, Atlanta

    Google Scholar 

  • van Harten WH (2014) Comprehensive cancer centres based on a network: the OECI point of view. eCancer 8(43)

  • White M, Holman DM, Boehm JE, Peipins LA, Grossman M, Henley S (2014) Age and cancer risk. A potentially modifiable relationship. Am J Prevent Med 46(3 Suppl1):S7–S15

    Article  Google Scholar 

  • WHO (2020) WHO report on cancer: setting priorities, investing wisely and providing care for all. World Health Organization, Geneva (CH). Licence: CC BY-NC-SA 3.0 IGO

  • Wilson BE, Jacob S, Yap ML, Ferlay J, Bray F, Barton MB (2019) Estimates of global chemotherapy demands and corresponding physician workforce requirements for 2018 and 2040: a population-based study. Lancet Oncol 20(6):769–780

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge to the Board of medical directors (Direzione Sanitaria) of the San Martino Hospital who involved us in this study. We also thank all the medical and paramedical staff of the cancer centre who assisted us with the analysis of the problem characteristics, the oncologists involved in the centre for their precious help in identifying the aims and improvement directions of this study. Finally, we want to acknowledge the support of the Control Management Department (Controllo di gestione) and the IT Department (Sistemi informativi) for accessing to medical records and hospital data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paolo Landa .

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Carello, G., Landa , P., Tànfani, E. et al. Master chemotherapy planning and clinicians rostering in a hospital outpatient cancer centre. Cent Eur J Oper Res 30, 159–187 (2022). https://doi.org/10.1007/s10100-021-00786-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10100-021-00786-x

Keywords

Navigation