A universal appointment rule with patient classification for service times, no-shows and walk-ins

Name: A universal appointment rule with patient classification for service times, no-shows and walk-ins
Author: Çayırlı, Tuğba, Yang, K. K.

İsim	A universal appointment rule with patient classification for service times, no-shows and walk-ins
Yazar	Çayırlı, Tuğba, Yang, K. K.
Basım Tarihi:	2014
Basım Yeri	- Informs
Konu	Healthcare, Appointment scheduling and sequencing, Simulation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2164-3970
Kayıt Numarası	fdb67ad2-87c7-4b10-a5c9-4a9f2883f35e
Lokasyon	Business Administration
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative appointment systems are tested through simulation using a universal Dome rule and some of the best traditional appointment rules in the literature. Our findings show that the universal Dome rule performs better in terms of reducing the total cost of patient’s waiting time, doctor’s idle time, and overtime, and its performance improves further with the right sequencing of patient groups. Although it is a challenge to find the best sequence, we propose a heuristic rule that successfully identifies the best sequence with an accuracy level of 98% for the universal Dome rule. Sensitivity analyses further confirm that our findings are valid even when assumptions on patient punctuality and service time distributions are relaxed. To facilitate the use of our proposed appointment system, an open source online tool is developed to support practitioners in designing their appointment schedules for real clinics.
Cilt	6

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A universal appointment rule with patient classification for service times, no-shows and walk-ins

Yazar Çayırlı, Tuğba, Yang, K. K.

Basım Tarihi 2014

Basım Yeri - Informs

Konu Healthcare, Appointment scheduling and sequencing, Simulation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2164-3970

Kayıt Numarası fdb67ad2-87c7-4b10-a5c9-4a9f2883f35e

Lokasyon Business Administration

Tarih 2014

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

Örnek Metin This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative appointment systems are tested through simulation using a universal Dome rule and some of the best traditional appointment rules in the literature. Our findings show that the universal Dome rule performs better in terms of reducing the total cost of patient’s waiting time, doctor’s idle time, and overtime, and its performance improves further with the right sequencing of patient groups. Although it is a challenge to find the best sequence, we propose a heuristic rule that successfully identifies the best sequence with an accuracy level of 98% for the universal Dome rule. Sensitivity analyses further confirm that our findings are valid even when assumptions on patient punctuality and service time distributions are relaxed. To facilitate the use of our proposed appointment system, an open source online tool is developed to support practitioners in designing their appointment schedules for real clinics.

Cilt 6