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Analysis of the Waiting Time in Clinic Registration of Patients with Appointments and Random Walk-Ins

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  • Jin Kyung Kwak

    (Business Administration, Ewha Womans University, Seoul 03760, Republic of Korea)

Abstract

Healthcare institutions generally use an appointment system. However, patients often need to receive medical services unexpectedly. If they visit a clinic without an appointment, they may have to wait for a long time, as their priority is low. In this study, we investigated whether the clinic registration system can be improved by separating the queues and resources for different types of patients. From our simulation results, we found that under a certain setup, the separation policy does not effectively reduce the walk-ins’ waiting time, nor improve the service. The study gives valuable managerial insights into the factors affecting patients’ waiting times. As the number of random walk-ins is relatively higher, the service times are longer, and the no-show rate of appointments is lower, separation may reduce the waiting time of walk-in patients.

Suggested Citation

  • Jin Kyung Kwak, 2023. "Analysis of the Waiting Time in Clinic Registration of Patients with Appointments and Random Walk-Ins," IJERPH, MDPI, vol. 20(3), pages 1-9, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2635-:d:1054082
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    References listed on IDEAS

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    1. Guanlian Xiao & Ming Dong & Jing Li & Liya Sun, 2017. "Scheduling routine and call-in clinical appointments with revisits," International Journal of Production Research, Taylor & Francis Journals, vol. 55(6), pages 1767-1779, March.
    2. Michael H. Rothkopf & Paul Rech, 1987. "Perspectives on Queues: Combining Queues is Not Always Beneficial," Operations Research, INFORMS, vol. 35(6), pages 906-909, December.
    3. Avishai Mandelbaum & Martin I. Reiman, 1998. "On Pooling in Queueing Networks," Management Science, INFORMS, vol. 44(7), pages 971-981, July.
    4. Wen-Ya Wang & Diwakar Gupta, 2011. "Adaptive Appointment Systems with Patient Preferences," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 373-389, July.
    5. Li Luo & Ying Zhou & Bernard T. Han & Jialing Li, 2019. "An optimization model to determine appointment scheduling window for an outpatient clinic with patient no-shows," Health Care Management Science, Springer, vol. 22(1), pages 68-84, March.
    6. Edward J. Rising & Robert Baron & Barry Averill, 1973. "A Systems Analysis of a University-Health-Service Outpatient Clinic," Operations Research, INFORMS, vol. 21(5), pages 1030-1047, October.
    7. Sharan Srinivas & A. Ravi Ravindran, 2020. "Designing schedule configuration of a hybrid appointment system for a two-stage outpatient clinic with multiple servers," Health Care Management Science, Springer, vol. 23(3), pages 360-386, September.
    8. Xingwei Pan & Na Geng & Xiaolan Xie, 2021. "A stochastic approximation approach for managing appointments in the presence of unpunctual patients, multiple servers and no-shows," International Journal of Production Research, Taylor & Francis Journals, vol. 59(10), pages 2996-3016, May.
    9. Lawrence W. Robinson & Rachel R. Chen, 2010. "A Comparison of Traditional and Open-Access Policies for Appointment Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 330-346, June.
    10. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    11. Jianzhe Luo & Vidyadhar G. Kulkarni & Serhan Ziya, 2012. "Appointment Scheduling Under Patient No-Shows and Service Interruptions," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 670-684, October.
    12. Fanwen Meng & Kiok Teow & Chee Ooi & Bee Heng & Seow Tay, 2015. "Analysis of patient waiting time governed by a generic maximum waiting time policy with general phase-type approximations," Health Care Management Science, Springer, vol. 18(3), pages 267-278, September.
    13. Paul Joustra & Erik Sluis & Nico Dijk, 2010. "To pool or not to pool in hospitals: a theoretical and practical comparison for a radiotherapy outpatient department," Annals of Operations Research, Springer, vol. 178(1), pages 77-89, July.
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