Mismanaging Diagnostic Accuracy Under Congestion

Published Online:https://doi.org/10.1287/opre.2022.2292

References

  • Alizamir S, de Vericourt F, Sun P (2013) Diagnostic accuracy under congestion. Management Sci. 59(1):157–171.LinkGoogle Scholar
  • Alizamir S, de Véricourt F, Sun P (2019) Search under accumulated pressure. Oper. Res., ePub ahead of print December 12, https://doi.org/10.1287/opre.2019.1880.LinkGoogle Scholar
  • Allon G, Kremer M (2019) Behavioral foundations of queuing systems. Donohue EK, Leider S, eds. The Handbook of Behavioral Operations, Handbooks in Operations Research and Management Science (John Wiley & Sons, Hoboken, NJ), 325–366.Google Scholar
  • Arkes H (1991) Cost and benefits of judgment errors: Implications for debiasing. Psych. Bull. 110(3):486–498.CrossrefGoogle Scholar
  • Batt R, Terwiesch C (2016) Early task initiation and other load adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.LinkGoogle Scholar
  • Bearden J, Murphy R (2007) On generalized secretary problems. Abdellaoui M, Luce R, Machina M, Munier B, eds. Uncertainty and Risk: Mental, Formal and Experimental Representations (Springer, New York), 187–205.CrossrefGoogle Scholar
  • Bertsekas DP (2005a) Dynamic Programming and Optimal Control, vol. 2, 3rd ed. (Athena Scientific, Belmont, MA).Google Scholar
  • Bertsekas DP (2005b) Dynamic Programming and Optimal Control, vol. 1, 3rd ed. (Athena Scientific, Belmont, MA).Google Scholar
  • Busemeyer JA, Rapoport A (1988) Psychological models of deferred decision making. J. Math. Psych. 32:91–134.CrossrefGoogle Scholar
  • Chan CW, Green LV, Lekwijit S, Lu L, Escobar G (2019) Assessing the impact of service level when customer needs are uncertain: An empirical investigation of hospital step-down units. Management Sci. 65(2):751–775.LinkGoogle Scholar
  • de Vericourt F, Zhoug Y (2005) Managing response time in a call-routing problem with service failure. Oper. Res. 53(6):968–981.LinkGoogle Scholar
  • Delasay M, Ingolfsson A, Bora K, Schultz K (2019) Load effect on service times. Eur. J. Oper. Res. 279(3):673–686.CrossrefGoogle Scholar
  • Edie L (1954) Traffic delays at toll booths. J. Oper. Res. Soc. Amer. 2(2):107–138.LinkGoogle Scholar
  • Fischbacher U (2007) z-tree: Zurich toolbox for ready-made economic experiments. Experiment. Econom. 10(2):171–178.CrossrefGoogle Scholar
  • Forster AJ, Stiell I, Wells G, Lee AJ, Walraven CV (2003) The effect of hospital occupancy on emergency department length of stay and patient disposition. Acad. Emergency Medicine 10(2):127–133.CrossrefGoogle Scholar
  • Freeman M, Savva N, Scholtes S (2017) Gatekeepers at work: An empirical analysis of a maternity unit. Management Sci. 63(10):3147–3167.LinkGoogle Scholar
  • Girotra K, Terwiesch CKU (2007) Valuing R&D projects in a portfolio: Evidence from the pharmaceutical industry. Management Sci. 53(9):1452–1466.LinkGoogle Scholar
  • Hathaway B, Kagan E, Dada M (2022) The gatekeeper’s dilemma: “When should I transfer this customer?” Oper. Res., ePub ahead of print January 7, https://doi.org/10.1287/opre.2021.2211.Google Scholar
  • Hendriks A (2012) SoPHIE: Software platform for human interaction experiments. Working paper, University of Osnabrück, Osnabrück, Germany.Google Scholar
  • Huang T, Allon G, Bassamboo A (2013) Bounded rationality in service systems. Manufacturing Service Oper. Management 15(2):263–279.LinkGoogle Scholar
  • Ibanez M, Clark J, Huckman R, Staats B (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):3971–4470.Google Scholar
  • Jaeker JAB, Tucker AL (2017) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.LinkGoogle Scholar
  • Janakiraman N, Meyer RJ, Hoch SJ (2011) The psychology of decisions to abandon waits for service. J. Marketing Res. 48(6):970–984.CrossrefGoogle Scholar
  • Kahneman D, Tversky A (1973) On the psychology of prediction. Psych. Rev. 80:237–251.CrossrefGoogle Scholar
  • Kc CT, Diwas S (2009) Impact of workload on service time and patient safety: An econometric analysis of hospital operations. Management Sci. 55(9):1486–1498.LinkGoogle Scholar
  • Kc DS, Terwiesch C (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.LinkGoogle Scholar
  • Keenan S, Sibbald W, Inman K, Massel D (1998) A systematic review of the cost-effectiveness of noncardiac transitional care units. Chest 113(1):172–177.CrossrefGoogle Scholar
  • Kim S, Chan C, Olivares M, Escobar G (2015) ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes. Management Sci. 61(1):19–38.LinkGoogle Scholar
  • Kivetz R, Urminsky O, Zheng Y (2006) The goal-gradient hypothesis resurrected: Purchase acceleration, illusory goal progress, and customer retention. J. Marketing Res. 43(2):39–58.CrossrefGoogle Scholar
  • Kremer M, Minner S, Van Wassenhove L (2010) Do random errors explain newsvendor behavior? Manufacturing Service Oper. Management 12(4):673–681.LinkGoogle Scholar
  • Kuntz L, Mennicken R, Scholtes S (2015) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. 61(4):754–771.LinkGoogle Scholar
  • Loch C, Terwiesch C (1999) Accelerating the process of engineering change orders: Capacity and congestion effects. J. Production Innovative Management 16(2):145–159.CrossrefGoogle Scholar
  • Long EF, Mathews KS (2018) The boarding patient: Effects of ICU and hospital occupancy surges on patient flow. Production Oper. Management 27(2):2122–2143.CrossrefGoogle Scholar
  • Lu Y, Musalem A, Olivares M, Schilkrut A (2013) Measuring the effect of queues on customer purchases. Management Sci. 59(8):1743–1763.LinkGoogle Scholar
  • Maestad O, Torsvik G, Aakvik A (2010) Overworked? On the relationship between workload and health worker performance. J. Health Econom. 29(5):686–698.CrossrefGoogle Scholar
  • Mas A, Moretti E (2009) Peers at work. Amer. Econom. Rev. 99(1):112–145.CrossrefGoogle Scholar
  • Oliva R, Sterman JD (2001) Cutting corners and working overtime: Quality erosion in the service industry. Management Sci. 47(7):894–914.LinkGoogle Scholar
  • Palley A, Kremer M (2014) Sequential search and learning from rank feedback: Theory and experimental evidence. Management Sci. 60(10):2525–2542.LinkGoogle Scholar
  • Pitz GF, Reinhold H, Geller ES (1969) Strategies of information seeking in deferred decision making. Organ. Behav. Human Performance 4:1–19.CrossrefGoogle Scholar
  • Powell A, Savin S, Savva N (2012) Physician workload and hospital reimbursement: Overworked physicians generate less revenue per patient. Manufacturing Service Oper. Management 14(4):512–528.LinkGoogle Scholar
  • Rabin M (2002) Inference by believers in the law of small numbers. Quart. J. Econom. 117(3):775–816.CrossrefGoogle Scholar
  • Rapoport A, Tversky A (1970) Choice behavior in an optimal stopping task. Organ. Behav. Human Performance 5:105–120.CrossrefGoogle Scholar
  • Saad G, Russo JE (1996) Stopping criteria in sequential choice. Organ. Behav. Human Decision Processes 67:258–270.CrossrefGoogle Scholar
  • Schultz KL, McClain JO, Thomas JL (2003) Overcoming the dark side of worker flexibility. J. Oper. Management 21:81–92.CrossrefGoogle Scholar
  • Schultz KL, Juran DC, Boudreau JW, McClain JO, Thomas LJ (1998) Modeling and worker motivation in JIT production systems. Management Sci. 44(12):1595–1607.LinkGoogle Scholar
  • Schweitzer M, Cachon G (2000) Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence. Management Sci. 46(3):404–420.LinkGoogle Scholar
  • Shafir E, Tversky A (1992) Thinking through uncertainty: Nonconsequential reasoning and choice. Cognitive Psych. 24:449–474.CrossrefGoogle Scholar
  • Staats B, Gino F (2012) Specialization and variety in repetitive tasks: Evidence from a Japanese bank. Management Sci. 58(6):1141–1159.LinkGoogle Scholar
  • Su X (2008) Bounded rationality in newsvendor models. Manufacturing Service Oper. Management 10(4):566–589.LinkGoogle Scholar
  • Tan TF, Netessine S (2014) When does the devil make work? An empirical study of the impact of workload on worker productivity. Management Sci. 60(6):1574–1593.LinkGoogle Scholar
  • Wang J, Zhou Y (2018) Impact of queue configuration on service time: Evidence from a supermarket. Management Sci. 64(7):3055–3075.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.