Appointment Scheduling Under Patient No-Shows and Service Interruptions

Published Online:https://doi.org/10.1287/msom.1120.0394

References

  • Adiri I, Bruno J, Frostig E, Rinnooy Kan AHG. Single machine flow-time scheduling with a single breakdown. Acta Informatica (1989) 26(7):679–696CrossrefGoogle Scholar
  • Alderman L. The doctor will see you…eventually. New York Times (2011) August 1). http://www.nytimes.com/2011/08/02/health/policy/02consumer.htmlGoogle Scholar
  • Anderson C, Butcher C, Moreno A. Emergency department patient flow simulation at HealthAlliance. (2010) . Project proposal, Worcester Polytechnic Institute, Worcester, MAGoogle Scholar
  • Bailey NTJ. A study of queues and appointment systems in hospital out-patient departments, with special reference to waiting-times. J. Royal Statist. Soc. Series B (Methodological) (1952) 185–199CrossrefGoogle Scholar
  • Birge J, Frenk JBG, Mittenthal J, Rinnooy Kan AHG. Single-machine scheduling subject to stochastic breakdowns. Naval Res. Logist. (1990) 37(5):661–677CrossrefGoogle Scholar
  • Broder J, Warshauer DM. Increasing utilization of computed tomography in the adult emergency department, 2000–2005. Emergency Radiology (2006) 13(1):25–30CrossrefGoogle Scholar
  • Cayirli T, Veral E. Outpatient scheduling in health care: A review of literature. Production Oper. Management (2003) 12(4):519–549CrossrefGoogle Scholar
  • Chakraborty S, Muthuraman K, Lawley M. Sequential clinical scheduling with patient no-shows and general service time distributions. IIE Trans. (2010) 42(5):354–366CrossrefGoogle Scholar
  • Channouf N, L'Ecuyer P, Ingolfsson A, Avramidis AN. The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta. Health Care Management Sci. (2007) 10(1):25–45CrossrefGoogle Scholar
  • Denton B, Gupta D. A sequential bounding approach for optimal appointment scheduling. IIE Trans. (2003) 35(11):1003–1016CrossrefGoogle Scholar
  • Draeger MA. An emergency department simulation model used to evaluate alternative nurse staffing and patient population scenarios. Proc. 24th Conf. Winter Simulation (1992) (ACM, New York) 1057–1064CrossrefGoogle Scholar
  • Duguay C, Chetouane F. Modeling and improving emergency department systems using discrete event simulation. Simulation (2007) 83(4):311–320CrossrefGoogle Scholar
  • Fackrell M. Modelling healthcare systems with phase-type distributions. Health Care Management Sci. (2009) 12(1):11–26CrossrefGoogle Scholar
  • Federgruen A, Green L. Queueing systems with service interruptions. Oper. Res. (1986) 34(5):752–768LinkGoogle Scholar
  • Fiems D, Koole G, Nain P. Waiting times of scheduled patients in the presence of emergency requests. (2012) . Working paper, VU University Amsterdam, Amsterdam. Accessed June 20,2012, http://www.math.vu.nl/~koole/articles/2005report1/art.pdfGoogle Scholar
  • Fries BE, Marathe VP. Determination of optimal variable-sized multiple-block appointment systems. Oper. Res. (1981) 29(2):324–345LinkGoogle Scholar
  • Glazebrook KD. Scheduling stochastic jobs on a single machine subject to breakdowns. Naval Res. Logist. Quart. (1984) 31(2):251–264CrossrefGoogle Scholar
  • Gray WJ, Wang PP, Scott MK. A vacation queueing model with service breakdowns. Appl. Math. Model. (2000) 24(5–6):391–400CrossrefGoogle Scholar
  • Green LV, Savin S. Reducing delays for medical appointments: A queueing approach. Oper. Res. (2008) 56(6):1526–1538LinkGoogle Scholar
  • Green LV, Savin S, Wang B. Managing patient service in a diagnostic medical facility. Oper. Res. (2006) 54(1):11–25LinkGoogle Scholar
  • Gupta D, Denton B. Appointment scheduling in health care: Challenges and opportunities. IIE Trans. (2008) 40(9):800–819CrossrefGoogle Scholar
  • Gupta D, Wang L. Revenue management for a primary-care clinic in the presence of patient choice. Oper. Res. (2008) 56(3):576–592LinkGoogle Scholar
  • Hassin R, Mendel S. Scheduling arrivals to queues: A single-server model with no-shows. Management Sci. (2008) 54(3):565–572LinkGoogle Scholar
  • Horowitz E. Algorithms for partial fraction decomposition and rational function integration. Proc. Second ACM Sympos. Symbolic and Algebraic Manipulation (1971) (ACM, New York) 441–457CrossrefGoogle Scholar
  • Jouini O, Benjaafar S. Queueing systems with appointment-driven arrivals, non-punctual customers, and no-shows. (2012) . Working paper, École Centrale Paris, Châtenay-Malabry, France. Accessed June 20, 2012, http://www.isye.umn.edu/faculty/pdf/jobe-5-17-10.pdfGoogle Scholar
  • Kaandorp GC, Koole G. Optimal outpatient appointment scheduling. Health Care Management Sci. (2007) 10(3):217–229CrossrefGoogle Scholar
  • Kenny DJ, Barrett EJ. Emergency trauma: Treating the unexpected. J. Calif. Dental Assoc. (2005) 33(5):383–386Google Scholar
  • Klassen KJ, Yoogalingam R. An assessment of the interruption level of doctors in outpatient appointment scheduling. Oper. Management Res. (2008) 1(2):95–102CrossrefGoogle Scholar
  • Korley FK, Pham JC, Kirsch TD. Use of advanced radiology during visits to US emergency departments for injury-related conditions, 1998–2007. J. Amer. Medical Assoc. (2010) 304(13):1465–1471CrossrefGoogle Scholar
  • Liu N, Ziya S, Kulkarni VG. Dynamic scheduling of outpatient appointments under patient no-shows and cancellations. Manufacturing Service Oper. Management (2010) 12(2):347–364LinkGoogle Scholar
  • McCarthy ML, Zeger SL, Ding R, Aronsky D, Hoot NR, Kelen GD. The challenge of predicting demand for emergency department services. Academic Emergency Medicine (2008) 15(4):337–346CrossrefGoogle Scholar
  • Muthuraman K, Lawley M. A stochastic overbooking model for outpatient clinical scheduling with no-shows. IIE Trans. (2008) 40(9):820–837CrossrefGoogle Scholar
  • Neuts MF. Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (1981) (Johns Hopkins University Press, Baltimore) Google Scholar
  • Pegden CD, Rosenshine M. Scheduling arrivals to queues. Comput. Oper. Res. (1990) 17(4):343–348CrossrefGoogle Scholar
  • Pitts SR, Niska RW, Xu J, Burt CW. National hospital ambulatory medical care survey: 2006 emergency department summary. National Health Statist. Rep. (2008) 7(7):1–38Google Scholar
  • Robinson LW, Chen RR. Scheduling doctors' appointments: Optimal and empirically-based heuristic policies. IIE Trans. (2003) 35(3):295–307CrossrefGoogle Scholar
  • Rossetti MD, Trzcinski GF, Syverud SA. Emergency department simulation and determination of optimal attending physician staffing schedules. Proc. 31st Conf. Winter Simulation (1999) (ACM, New York) 1532–1540CrossrefGoogle Scholar
  • Stein WE, Côté MJ. Scheduling arrivals to a queue. Comput. Oper. Res. (1994) 21(6):607–614CrossrefGoogle Scholar
  • Takine T, Sengupta B. A single server queue with service interruptions. Queueing Systems (1997) 26(3):285–300CrossrefGoogle Scholar
  • Vasanawala SS, Desser TS. Accommodation of requests for emergency US and CT: Applications of queueing theory to scheduling of urgent studies. Radiology (2005) 235(1):244–249CrossrefGoogle Scholar
  • Wang PP. Releasing N jobs to an unreliable machine. Comput. Indust. Engrg. (1994) 26(4):661–671CrossrefGoogle Scholar
  • Wang PP. Optimally scheduling N customer arrival times fora single-server system. Comput. Oper. Res. (1997) 24(8):703–716CrossrefGoogle Scholar
  • Wang PP. Sequencing and scheduling N customers for a stochastic server. Eur. J. Oper. Res. (1999) 119(3):729–738CrossrefGoogle Scholar
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