Hospital Information System (His) Performance in the Post-Implementation Stage Publisher



Ahmadi H¹ ; Sadoughi F¹ ; Azadi T¹ ; Shahmoradi L²
Source: 59th International Scientific Conference on Information Technology and Management Science of Riga Technical University# ITMS 2018 - Proceedings Published:2018

Abstract

Hospital Information Systems (HIS) have been used widely in different healthcare settings and yet not many of them can gain the expected benefits of it. Despite the initial successful adoption, many evidences suggest that hospitals are not able to fully utilize the advantages of HIS in post-implementation stage. This paper aims to discover the influential dimension and their respective factors affecting HIS performance in the post-implementation stage. A quantitative study of Iranian public hospitals was performed to determine the influential dimensions as organization, technology and continuous process improvement and their respective factors including user participation, efficiency, user training, competency of HIS internal team, and inter-department collaboration/communication. Potential dimensional factors describing the successful use of HIS to improve hospital performance in the post-implementation stage was proposed and tested through administration of a questionnaire in 16 public hospitals affiliated to Tehran University of Medical Sciences. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 22 with data scored in Likert Scale (score 1-5). The results show that there are two influential dimensions including HIS use and continuous process improvement having positive effect on successful performance of HIS in post-implementation stage. Findings of this study reveal how HIS is exploited in Iranian hospitals and giving added values to their users. Despite the focus of many HIS literature on system adoption, this paper discovers the post-implementation stage and tries to shed light on the actual use of HIS and its performance under the influence of its predominant factors. © 2018 IEEE.