A Prediction-Based Approach for Online Dynamic Appointment Scheduling: A Case Study in Radiotherapy Treatment

Published Online:https://doi.org/10.1287/ijoc.2023.1289

References

  • Barton MB, Jacob S, Shafiq J, Wong K, Thompson SR, Hanna TP, Delaney GP (2014) Estimating the demand for radiotherapy from the evidence: A review of changes from 2003 to 2012. Radiotherapy Oncology 112(1):140–144.CrossrefGoogle Scholar
  • Burke EK, Leite-Rocha P, Petrovic S (2011) An integer linear programming model for the radiotherapy treatment scheduling problem. Preprint, submitted March 17, https://arxiv.org/abs/1103.3391.Google Scholar
  • Castro E, Petrovic S (2012) Combined mathematical programming and heuristics for a radiotherapy pre-treatment scheduling problem. J. Scheduling 15(3):333–346.CrossrefGoogle Scholar
  • Cayirli T, Veral E (2003) Outpatient scheduling in healthcare: A review of literature. Production Oper. Management 12(4):519–549.CrossrefGoogle Scholar
  • Ceschia S, Schaerf A (2012) Modeling and solving the dynamic patient admission scheduling problem under uncertainty. Artificial Intelligence Medicine 56(3):199–205.CrossrefGoogle Scholar
  • Ceschia S, Schaerf A (2016) Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays. J. Scheduling 19(4):377–389.CrossrefGoogle Scholar
  • Chen Z, King W, Pearcey R, Kerba M, Mackillop WJ (2008) The relationship between waiting time for radiotherapy and clinical outcomes: A systematic review of the literature. Radiotherapy Oncology 87(1):3–16.CrossrefGoogle Scholar
  • Coles C, Burgess L, Tan L (2003) An audit of delays before and during radical radiotherapy for cervical cancer—Effect on tumour cure probability. Clinical Oncology 15(2):47–54.CrossrefGoogle Scholar
  • Conforti D, Guerriero F, Guido R (2008) Optimization models for radiotherapy patient scheduling. 4OR 6(3):263–278.CrossrefGoogle Scholar
  • Conforti D, Guerriero F, Guido R (2010) Non-block scheduling with priority for radiotherapy treatments. Eur. J. Oper. Res. 201(1):289–296.CrossrefGoogle Scholar
  • Frimodig S, Schulte C (2019) Models for radiation therapy patient scheduling. Proc. Internat. Conf. Principles Practice Constraint Programming (Springer), 421–437.Google Scholar
  • Gerchak Y, Gupta D, Henig M (1996) Reservation planning for elective surgery under uncertain demand for emergency surgery. Management Sci. 42(3):321–334.LinkGoogle Scholar
  • Gocgun Y (2018) Simulation-based approximate policy iteration for dynamic patient scheduling for radiation therapy. Health Care Management Sci. 21(3):317–325.CrossrefGoogle Scholar
  • Gupta D, Denton B (2008) Appointment scheduling in healthcare: Challenges and opportunities. IIE Trans. 40(9):800–819.CrossrefGoogle Scholar
  • Kapamara T, Petrovic D (2009) A heuristics and steepest hill climbing method to scheduling radiotherapy patients. Proc. 35th Internat. Conf. Oper. Res. Appl. Health Services (Citeseer, State College, PA).Google Scholar
  • Kapamara T, Sheibani K, Haas OC, Reeves CR, Petrovic D (2006) A review of scheduling problems in radiotherapy. Proc. 18th Internat. Conf. Systems Engrg. (IEEE, Piscataway, NJ), 201–207.Google Scholar
  • Lamiri M, Xie X, Dolgui A, Grimaud F (2008) A stochastic model for operating room planning with elective and emergency demand for surgery. Eur. J. Oper. Res. 185(3):1026–1037.CrossrefGoogle Scholar
  • Larsen E, Lachapelle S, Bengio Y, Frejinger E, Lacoste-Julien S, Lodi A (2021) Predicting tactical solutions to operational planning problems under imperfect information. INFORMS J. Comput. 34(1):227–242.LinkGoogle Scholar
  • Legrain A, Fortin MA, Lahrichi N, Rousseau LM (2015) Online stochastic optimization of radiotherapy patient scheduling. Health Care Management Sci. 18(2):110–123.CrossrefGoogle Scholar
  • Mackillop WJ (2007) Killing time: The consequences of delays in radiotherapy. Radiotherapy Oncology 84(1):1–4.CrossrefGoogle Scholar
  • Marynissen J, Demeulemeester E (2019) Literature review on multi-appointment scheduling problems in hospitals. Eur. J. Oper. Res. 272(2):407–419.CrossrefGoogle Scholar
  • Maschler J, Raidl GR (2018) Particle therapy patient scheduling with limited starting time variations of daily treatments. Internat. Trans. Oper. Res. 27(1):458–479.CrossrefGoogle Scholar
  • Maschler J, Riedler M, Stock M, Raidl GR (2016) Particle therapy patient scheduling: First heuristic approaches. Proc. 11th Internat. Conf. Practice Theory Automated Timetabling. (Udine, Italy), 223–244.Google Scholar
  • Patrick J, Puterman ML, Queyranne M (2008) Dynamic multipriority patient scheduling for a diagnostic resource. Oper. Res. 56(6):1507–1525.LinkGoogle Scholar
  • Petrovic S, Leite-Rocha P (2008) Constructive approaches to radiotherapy scheduling. Proc. World Congress Engrg. Comput. Sci., 722–727.Google Scholar
  • Petrovic S, Leung W, Song X, Sundar S (2006) Algorithms for radiotherapy treatment booking. 25th Workshop UK Planning Scheduling Special Interest Group (University of Nottingham, Nottingham, UK), 105–112.Google Scholar
  • Pham TS, Rousseau LM, De Causmaecker P (2022) A two-phase approach for the radiotherapy scheduling problem. Health Care Management Sci. 25:191–207.CrossrefGoogle Scholar
  • Pham TS, Legrain A, De Causmaecker P, Rousseau LM (2023) A prediction-based approach for online dynamic appointment scheduling: A case study in radiotherapy treatment. URL http://dx.doi.org/10.5281/zenodo.7579533, https://github.com/INFORMSJoc/2021.0342.Google Scholar
  • Salah H, Srinivas S (2022) Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling. Comput. Indust. Engrg. 169:108270.CrossrefGoogle Scholar
  • Sauré A, Begen MA, Patrick J (2020) Dynamic multi-priority, multi-class patient scheduling with stochastic service times. Eur. J. Oper. Res. 280(1):254–265.CrossrefGoogle Scholar
  • Sauré A, Patrick J, Tyldesley S, Puterman ML (2012) Dynamic multi-appointment patient scheduling for radiation therapy. Eur. J. Oper. Res. 223(2):573–584.CrossrefGoogle Scholar
  • Schuetz HJ, Kolisch R (2012) Approximate dynamic programming for capacity allocation in the service industry. Eur. J. Oper. Res. 218(1):239–250.CrossrefGoogle Scholar
  • Srinivas S, Ravindran AR (2018) Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework. Expert Systems Appl. 102:245–261.CrossrefGoogle Scholar
  • Tyldesley S, Delaney G, Foroudi F, Barbera L, Kerba M, Mackillop W (2011) Estimating the need for radiotherapy for patients with prostate, breast, and lung cancers: Verification of model estimates of need with radiotherapy utilization data from British Columbia. Internat. J. Radiation Oncology Biol. Phys. 79(5):1507–1515.CrossrefGoogle Scholar
  • Vermeulen IB, Bohte SM, Elkhuizen SG, Lameris H, Bakker PJ, La Poutre H (2009) Adaptive resource allocation for efficient patient scheduling. Artificial Intelligence Medicine 46(1):67–80.CrossrefGoogle Scholar
  • Vieira B, Hans EW, van Vliet-Vroegindeweij C, Van De Kamer J, Van Harten W (2016) Operations research for resource planning and use in radiotherapy: A literature review. BMC Medical Inform. Decision Making 16(1):1–11.CrossrefGoogle Scholar
  • Vieira B, Demirtas D, van de Kamer JB, Hans EW, Rousseau LM, Lahrichi N, van Harten WH (2020) Radiotherapy treatment scheduling considering time window preferences. Health Care Management Sci. 23:520–534.CrossrefGoogle Scholar
  • Vogl P, Braune R, Doerner KF (2019) Scheduling recurring radiotherapy appointments in an ion beam facility. J. Scheduling 22(2):137–154.CrossrefGoogle Scholar
  • Zhu YH, Toffolo TA, Vancroonenburg W, Berghe GV (2019) Compatibility of short and long term objectives for dynamic patient admission scheduling. Comput. Oper. Res. 104:98–112.CrossrefGoogle Scholar
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