An Outpatient Appointment Scheduling System Based on the Logistic Regression Method

NCUTIR > College of Management > Department of Information Management > 【資訊管理系】期刊論文 > Item 987654321/5912

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Title:	An Outpatient Appointment Scheduling System Based on the Logistic Regression Method
Authors:	Huang, Jia-Yen
Contributors:	圖書館
Keywords:	Logistic Regression Method Outpatient Appointment Scheduling System Waiting time
Date:	2015-11-02
Issue Date:	2016-10-18 16:15:12 (UTC+8)
Publisher:	Taylor and Francis Ltd
Abstract:	In the age of rising patients’ self-awareness, reducing patient waiting time is one of the most important issues for hospitals. In Taiwan, the schedule of outpatient appointment time is arranged according to experience, and several possible factors influential to the prediction accuracy are neglected, which inducing patient's uncomfortable feeling. In this paper, sample data of a medical center located in central Taiwan is collected. Three methods for predicting the outpatient appointment time were conducted and compared, including the hospital's method, the moving average method, and the logistic regression method. The experimental results show that the appointment scheduling system based on our proposed algorithm can efficiently improve service quality by increasing prediction accuracy on the outpatient appointment time.
Relation:	Journal of Information and Optimization Sciences, Volume 36, Number 6, 2 November 2015, pp. 549-567(19)
Appears in Collections:	[Department of Information Management] 【資訊管理系】期刊論文

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