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An empirical study of patients' privacy concerns for health informatics as a service

机译:对健康信息学即服务患者隐私问题的实证研究

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The combination of two frontier technologies, health informatics and cloud computing, is known as Health Informatics as a Service (HIaaS). Considering the importance of privacy issues in HIaaS context, we empirically investigated the antecedents and consequences of patients' information privacy concerns for HIaaS in this paper. An integrated framework that consists of multiple dimensions of privacy concern antecedents and consequences is proposed and validated. Structural equation modeling method was employed to estimate the significance of the path coefficients. Five antecedent factors at different levels influence patients' privacy concern for HIaaS, including privacy awareness (patient level), perceived informativeness (service level), information sensitivity (information contingency), regulatory expectations (macro-environmental level), and importance of information transparency (organizational level). Privacy concern for HIaaS significantly affects patients' trust belief, perceived privacy risk, and adoption intention. This study is among the first to investigate privacy issues in an understudied context - HIaaS, which is different from extant HIaaS literature from conceptual and technological perspectives. In addition, this research provides a more holistic picture about the formation and consequence of patients' information privacy concerns.
机译:健康信息学和云计算这两种前沿技术的结合被称为健康信息学即服务(HIaaS)。考虑到隐私问题在HIaaS环境中的重要性,我们通过实证研究了患者对HIaaS的信息隐私关注的前因和后果。提出并验证了一个由多个方面的隐私问题和后果组成的集成框架。采用结构方程建模方法估计路径系数的重要性。影响患者对HIaaS隐私的关注程度的五个不同的前因,包括隐私意识(患者级别),感知的信息性(服务级别),信息敏感性(信息偶然性),监管期望(宏观环境级别)以及信息透明性的重要性(组织级别)。 HIaaS的隐私问题极大地影响了患者的信任信念,感知的隐私风险和采用意愿。这项研究是第一个在未充分研究的背景下研究隐私问题的技术-HIaaS,从概念和技术角度来看,HIaaS与现有的HIaaS文献有所不同。此外,这项研究还提供了有关患者信息隐私问题的形成和后果的更全面的描述。

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