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

Title	A universal appointment rule with patient classification for service times, no-shows and walk-ins
Author	Çayırlı, Tuğba, Yang, K. K.
Publication Date:	2014
Publication Place	- Informs
Subject	Healthcare, Appointment scheduling and sequencing, Simulation
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2164-3970
Record ID	fdb67ad2-87c7-4b10-a5c9-4a9f2883f35e
Library Location	Business Administration
Date	2014
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	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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Özyeğin University

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

Author Çayırlı, Tuğba, Yang, K. K.

Publication Date 2014

Publication Place - Informs

Subject Healthcare, Appointment scheduling and sequencing, Simulation

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2164-3970

Record ID fdb67ad2-87c7-4b10-a5c9-4a9f2883f35e

Library Location Business Administration

Date 2014

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

Sample Text 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