A universal appointment rule in the presence of no-shows and walk-ins

Name: A universal appointment rule in the presence of no-shows and walk-ins
Author: Çayırlı, Tuğba, Yang, K. K., Quek, S. A.

İsim	A universal appointment rule in the presence of no-shows and walk-ins
Yazar	Çayırlı, Tuğba, Yang, K. K., Quek, S. A.
Basım Tarihi:	2012-07
Basım Yeri	- Wiley
Konu	Healthcare, Appointment scheduling, Simulation, Nonlinear regression
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1937-5956
Kayıt Numarası	cb59dbd9-494a-4ba9-9548-de22477a4235
Lokasyon	Business Administration
Tarih	2012-07
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This study introduces a universal “Dome” appointment rule that can be parameterized through a planning constant for different clinics characterized by the environmental factors—no-shows, walk-ins, number of appointments per session, variability of service times, and cost of doctor's time to patients’ time. Simulation and nonlinear regression are used to derive an equation to predict the planning constant as a function of the environmental factors. We also introduce an adjustment procedure for appointment systems to explicitly minimize the disruptive effects of no-shows and walk-ins. The procedure adjusts the mean and standard deviation of service times based on the expected probabilities of no-shows and walk-ins for a given target number of patients to be served, and it is thus relevant for any appointment rule that uses the mean and standard deviation of service times to construct an appointment schedule. The results show that our Dome rule with the adjustment procedure performs better than the traditional rules in the literature, with a lower total system cost calculated as a weighted sum of patients’ waiting time, doctor's idle time, and doctor's overtime. An open-source decision-support tool is also provided so that healthcare managers can easily develop appointment schedules for their clinical environment.
DOI	10.1111/j.1937-5956.2011.01297.x
Cilt	21

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A universal appointment rule in the presence of no-shows and walk-ins

Yazar Çayırlı, Tuğba, Yang, K. K., Quek, S. A.

Basım Tarihi 2012-07

Basım Yeri - Wiley

Konu Healthcare, Appointment scheduling, Simulation, Nonlinear regression

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1937-5956

Kayıt Numarası cb59dbd9-494a-4ba9-9548-de22477a4235

Lokasyon Business Administration

Tarih 2012-07

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin This study introduces a universal “Dome” appointment rule that can be parameterized through a planning constant for different clinics characterized by the environmental factors—no-shows, walk-ins, number of appointments per session, variability of service times, and cost of doctor's time to patients’ time. Simulation and nonlinear regression are used to derive an equation to predict the planning constant as a function of the environmental factors. We also introduce an adjustment procedure for appointment systems to explicitly minimize the disruptive effects of no-shows and walk-ins. The procedure adjusts the mean and standard deviation of service times based on the expected probabilities of no-shows and walk-ins for a given target number of patients to be served, and it is thus relevant for any appointment rule that uses the mean and standard deviation of service times to construct an appointment schedule. The results show that our Dome rule with the adjustment procedure performs better than the traditional rules in the literature, with a lower total system cost calculated as a weighted sum of patients’ waiting time, doctor's idle time, and doctor's overtime. An open-source decision-support tool is also provided so that healthcare managers can easily develop appointment schedules for their clinical environment.

DOI 10.1111/j.1937-5956.2011.01297.x

Cilt 21