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Physician-Customized Strategies for Reducing Outpatient Waiting Time in South Korea Using Queueing Theory and Probabilistic Metamodels

Authors
 Hanbit Lee  ;  Eun Kyoung Choi  ;  Kyung A Min  ;  Eunjeong Bae  ;  Hooyun Lee  ;  Jongsoo Lee 
Citation
 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Vol.19(4) : 2073, 2022-02 
Journal Title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
ISSN
 1661-7827 
Issue Date
2022-02
Keywords
operations research in health services ; outpatient waiting time ; probabilistic meta-modeling ; queueing ; statistical analysis
Abstract
The time a patient spends waiting to be seen by a healthcare professional is an important determinant of patient satisfaction in outpatient care. Hence, it is crucial to identify parameters that affect the waiting time and optimize it accordingly. First, statistical analysis was used to validate the effective parameters. However, no parameters were found to have significant effects with respect to the entire outpatient department or to each department. Therefore, we studied the improvement of patient waiting times by analyzing and optimizing effective parameters for each physician. Queueing theory was used to calculate the probability that patients would wait for more than 30 min for a consultation session. Using this result, we built metamodels for each physician, formulated an effective method to optimize the problem, and found a solution to minimize waiting time using a non-dominated sorting genetic algorithm (NSGA-II). On average, we obtained a 30% decrease in the probability that patients would wait for a long period. This study shows the importance of customized improvement strategies for each physician.
Files in This Item:
T202200466.pdf Download
DOI
10.3390/ijerph19042073
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
Choi, Eun Kyoung(최은경) ORCID logo https://orcid.org/0000-0003-4622-2437
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188023
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