Establishing a Cloud Computing Success Model for Hospitals in Taiwan

Abstract

The purpose of this study is to understand the critical quality-related factors that affect cloud computing success of hospitals in Taiwan. In this study, private cloud computing is the major research target. The chief information officers participated in a questionnaire survey. The results indicate that the integration of trust into the information systems success model will have acceptable explanatory power to understand cloud computing success in the hospital. Moreover, information quality and system quality directly affect cloud computing satisfaction, whereas service quality indirectly affects the satisfaction through trust. In other words, trust serves as the mediator between service quality and satisfaction. This cloud computing success model will help hospitals evaluate or achieve success after adopting private cloud computing health care services.

Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore

“…However, in addition to policy processes, there are hospital-level factors that play a critical role in this transition [ 161 ]. While hospitals that receive adequate funding and technical support are more adept at cloud adoption, it has generally been observed that inter-hospital and intra-hospital factors are more complex [ 77 ] and can vary from one country to the other.…”

“…A key reason for this is that enhanced cybersecurity entails financial and opportunity costs. Institutions find it difficult to allocate adequate resources for the purpose within their limited resources [ 161 ]. This is a significant barrier for cloud adoption as any potential threat may deter ongoing policy efforts if not handled well [ 125 ].…”

“…Policy factors Lack of data standards [ 6 , 74 , 155 , 156 , 157 ] Strict data storage requirements [ 107 , 108 , 158 ] Data privacy concerns [ 135 , 159 ] Weak cybersecurity infrastructure [ 125 , 160 , 161 ] …”

Towards A Cloud Computing Success Model For Hospital Information System In Jordan

“…CC is also elastic in that it can expand and contract depending on the system use by the client and thus, it assists in resolving feasibility and scalability challenges [23]. Throughout the previous years, Jordanian hospitals have begun to adopt CC for IT services platform, but prior studies only focused on the critical factors affecting the decisions to adopt among users [24,25], with only few carried out to shed light on CC success within hospitals [26,27]. Particularly, Garrison et al [25] stressed on the critical role of the 3 IT capabilities, namely managerial, technical, and relational, towards CC success, albeit their study was limited to IT capabilities.…”

Towards a European health research and innovation cloud (HRIC)

“…These aspects are subject to ongoing discussions and debates in the EOSC initiative [35]; for instance, progress has been made in the Human Brain Project (HBP) through its Ethics and Society sub-project in collaboration with the project platforms [36,37]. Other examples of data sharing that are compliant with data protection policies can be found in the recent literature [38][39][40][41][42][43][44][45]. Furthermore, there is the issue of capacity, with the amount of data starting to strain the infrastructure of any individual hospital or research institute.…”