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

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/32217

Title:	Strategic Improvement for Quality and Satisfaction of Hospital Information Systems
Authors:	Kuo, Kuang-Ming Liu, Chung-Feng Talley, Paul C. Pan, Su-Ya
Contributors:	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
Keywords:	Importance-Performance Analysis Provider Order Entry Service Quality Mclean Model Acceptance Model Success Model Consequences Technology Delone Implementation
Date:	2018
Issue Date:	2019-11-15 15:45:34 (UTC+8)
Publisher:	HINDAWI LTD
Abstract:	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
Relation:	Analytical Cellular Pathology, v.2018, ID 3689618
Appears in Collections:	[Dept. of Information Management] Periodical Articles

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