Strategic Improvement for Quality and Satisfaction of Hospital Information Systems

doi:10.1155/2018/3689618

CNU IR > College of Smart Living > Dept. of Information Management > Periodical Articles > Item 310902800/32217

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/32217

题名:	Strategic Improvement for Quality and Satisfaction of Hospital Information Systems
作者:	Kuo, Kuang-Ming Liu, Chung-Feng Talley, Paul C. Pan, Su-Ya
贡献者:	I Shou Univ, Dept Healthcare Adm Chia Nan Univ Pharm & Sci, Dept Informat Management I Shou Univ, Dept Appl English E Da Hosp, Dept Med Record Management
关键词:	Importance-Performance Analysis Provider Order Entry Service Quality Mclean Model Acceptance Model Success Model Consequences Technology Delone Implementation
日期:	2018
上传时间:	2019-11-15 15:45:34 (UTC+8)
出版者:	HINDAWI LTD
摘要:	The purpose of our study aimed to identify attributes capable of improving physicians' satisfaction levels with the use of a hospital information system (HIS). A model inclusive of system quality, information quality, and service quality related to an HIS is used to form antecedents of user satisfaction. Survey methodology was used to collect an attributive set representing the system quality, information quality, and service quality made available from 150 physicians at a large health-care system in southern Taiwan. Responses were segmented into low and high satisfaction and analyzed with partial least squares and importance-performance analysis. The results reveal that system quality, information quality, and service quality may be used to significantly predict physicians' satisfaction. Two system quality attributes (reliability and response time) were identified as the highest priorities for intervention by low- and high-satisfaction users. Low-satisfaction users further expect improvement of the HIS service quality to take place. The subject health-care system should produce coping interventions for those high priorities to enhance the satisfaction of physicians.
???metadata.dc.relation.uri???:	http://dx.doi.org/10.1155/2018/3689618
關聯:	Analytical Cellular Pathology, v.2018, ID 3689618
显示于类别:	[Dept. of Information Management] Periodical Articles

文件中的档案:

档案	描述	大小	格式	浏览次数
10.1155-2018-3689618.pdf		1585Kb	Adobe PDF	295	检视/开启
index.html		0Kb	HTML	1402	检视/开启

在CNU IR中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....