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Scheduling to Patients' Appointment Queue with Endogenous No-Shows

Published: 17 August 2017 Publication History

Abstract

Appointment scheduling has been considered widely in healthcare management. Multi-source of variability makes it challenging to determine the optimal appointment schedules. It is assumed that the probability that a patient behaves not show up is nondecreasing with respect to the system's backlog. An optimal schedule of appointment under queuing system with state dependent no-show rate is considered. Furthermore, we compare the impact of this kind of no-show behavior on the optimal schedule. We conclude that although the expected waiting time for each patient under state dependent no-show scenario is not much higher than the scenario when all patients show up, the state dependent no-show behavior will significant increases the overall cost.

References

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Bailey, Norman TJ, "A study of queues and appointment systems in hospital out-patient departments, with special reference to waiting-times," Journal of the Royal Statistical Society. Series B (Methodological), vol. 14, no. 2, pp. 185--199, Jan. 1952
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ICIBE '17: Proceedings of the 3rd International Conference on Industrial and Business Engineering
August 2017
107 pages
ISBN:9781450353519
DOI:10.1145/3133811
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Waseda University: Waseda University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2017

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Author Tags

  1. Healthcare Management
  2. No-Show Behavior
  3. Queuing Theory
  4. Scheduling

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