Appointment Scheduling Under Time-Dependent Patient No-Show Behavior

References

• Ahmed S (2000) Strategic planning under uncertainty: stochastic integer programming approaches. Unpublished doctoral thesis, University of Illinois at Urbana–Champaign, Urbana.Google Scholar
• Becker GS (1965) A theory of the allocation of time. Econom. J. (London) 75(299):493–517.Google Scholar
• Bertsimas D, Vayanos P (2018) Learning under uncertainty: an adaptive optimization perspective. Working paper, Sloan School of Management, Massachusetts Institute of Technology, Cambridge.Google Scholar
• Burer S (2009) On the copositive representation of binary and continuous nonconvex quadratic programs. Math. Programming 120:479–495.Crossref, Google Scholar
• Cayirli T, Veral E (2003) Outpatient scheduling in healthcare: A review of literature. Production Oper. Management 12(4):519–549.Crossref, Google Scholar
• Dickinson PJC, Gijben L (2014) On the computational complexity of membership problems for the completely positive cone and its dual. Comput. Optim. Appl. 57(2):403–415.Crossref, Google Scholar
• Flores G, Vega LR (1998) Barriers to healthcare access for Latino children: A review. Familiy Medicine Kansas City 30(3):196–205.Google Scholar
• French H, McGrane E, Cooke G (2005) A prospective study of non-attendance to a physiotherapy outpatient department. Physiotherapy Ireland 26:16–22.Google Scholar
• Gao Y, Simchi-Levi D, Teo CP, Yan Z (2019) Disruption risk mitigation in supply chains—the risk exposure index revisited. Oper. Res. 67(3):831–852. Link, Google Scholar
• Goel V, Grossmann IE (2006) A class of stochastic programs with decision dependent uncertainty. Math. Programming 108:355–394.Crossref, Google Scholar
• Gupta D, Denton B (2008) Appointment scheduling in healthcare: Challenges and opportunities. IIE Trans. 40(9):800–819.Crossref, Google Scholar
• Hanasusanto GA, Kuhn D (2018) Conic programming reformulations of two-stage distributionally robust linear programs over Wasserstein balls. Oper. Res. 66(3):849–869.Link, Google Scholar
• Hassin R, Mendel S (2008) Scheduling arrivals to queues: A single-server model with no-shows. Management Sci. 54(3):565–572.Link, Google Scholar
• Jiang R, Shen S, Zhang Y (2017) Integer programming approaches for appointment scheduling with random no-shows and service durations. Oper. Res. 65(6):1638–1656.Link, Google Scholar
• Kaandorp GC, Koole G (2007) Optimal outpatient appointment scheduling. Health Care Management Sci. 10(3):217–229.Crossref, Google Scholar
• Kong Q, Lee CY, Teo CP, Zheng Z (2013) Scheduling arrivals to a stochastic service delivery system using copositive cones. Oper. Res. 61(3):711–726.Link, Google Scholar
• Lacy NL, Paulman A, Reuter MD, Lovejoy B (2004) Why we don’t come: Patient perceptions on no-shows. Ann. Family Medicine 2(6):541–545.Crossref, Google Scholar
• LaGanga L, Lawrence SR (2012) Appointment overbooking in healthcare clinics to improve patient service and clinic performance. Production Oper. Management 21(5):874–888.Crossref, Google Scholar
• LaGanga LR, Lawrence SR (2008) Clinic no-shows and overbooking: Reflections and new directions in appointment yield management. Proc. Decision Sci. Institute Annual Conf., Baltimore.Google Scholar
• Luo J, Kulkarni VG, Ziya S (2012) Appointment scheduling under patient no-shows and service interruptions. Manufacturing Service Oper. Management 14(4):670–684.Link, Google Scholar
• McCormack M (2013) How to treat patient wait time woes. Accessed June 24, 2015, http://www.softwareadvice.com/medical/industryview/how-to-treat-patient-wait-time-woes/.Google Scholar
• Moore CG, Wilson-Witherspoon P, Probst JC (2001) Time and money: Effects of no-shows at a family practice residency clinic. Family Medicine 33(7):522–527.Google Scholar
• Natarajan K, Teo CP, Zheng Z (2011) Mixed 0-1 linear programs under objective uncertainty: A completely positive representation. Oper. Res. 59(3):713–728.Link, Google Scholar
• Nohadani O, Sharma K (2018) Optimization under decision-dependent uncertainty. SIAM J. Optim. 28(2):1773–1795.Crossref, Google Scholar
• Pflug G (1990) On-line optimization of simulated Markovian processes. Math. Oper. Res. 15(3):381–395.Link, Google Scholar
• Press Ganey (2008) The Impact of Patient Satisfaction on Pay-for-Performance in Medical Practices (Press Ganey, South Bend, IN).Google Scholar
• Robinson LW, Chen RR (2010) A comparison of traditional and open-access policies for appointment scheduling. Manufacturing Service Oper. Management 12(2):330–346.Link, Google Scholar
• Ulmer T, Troxler C (2004) The Economic Cost of Missed Appointments and the Open Access System. Community Health Scholars (University of Florida, Gainsville)Google Scholar
• Viswanath K, Peeta S, Salman FS (2004) Investing in the links of a stochastic network to minimize expected shortest path length. Technical report, Purdue University, West Lafayette, IN.Google Scholar
• Vujanic R, Goulart P, Morari M (2016) Robust optimization of schedules affected by uncertain events. J. Optim. Theory Appl. 171(3):1033–1054.Google Scholar
• Wang S, Liu N, Wan G (2019) Managing appointment-based services in the presence of walk-in customers. Management Sci. 66(2):667–686.Link, Google Scholar
• Zacharias C, Pinedo M (2014) Appointment scheduling with no-shows and overbooking. Production Oper. Management 23(5):788–801.Crossref, Google Scholar
• Zacharias C, Yunes T (2019) Multimodularity in the stochastic appointment scheduling problem with discrete arrival epochs. Management Sci., ePub ahead of print July 18, https://doi.org/10.1287/mnsc.2018.3242.Google Scholar