Abstract

Digital health is the foundation for the future growth of healthcare. The healthcare industry is leveraging digital transformation to empower the association between physicians and patients and ameliorate health results. Researchers and experts in health informatics are eager to see how new technologies can be used in the healthcare domain to enable real-time health monitoring, such as remote access to users' health data, tracking and alerts, and real-time reporting, allowing doctors to better care for their patients. By improving the security, privacy, and interoperability of health records, as well as easing Health Information Exchanges (HIE), the adoption of healthcare technologies can be encouraged. This can be accomplished through the use of a three-factor authentication architecture, which not only increases information assurance at a cheap rate but also defends patients' privacy in dispersed systems. Hence, using Technology Acceptance Model (TAM), this paper reflects patients’ and health professionals’ intention to use and implement the three-factor authentication in the master component of information technology in health: Electronic Health Records (EHR) systems. User authentication is an important component that possibly is incorporated in Electronic Health Records (EHRs) to shield patient information and restrict access to the medical server by unauthorized individuals. This research aimed to discover the relationship between perceived usefulness, perceived ease of use, perceived risk, trust, security and privacy, Information Integrity, and computer self-efficacy and the intention to use three-factor authentication for EHR systems. Respondents were requested to fill the questionnaire on their health data using google forms and partial least squares structural equation modeling was used to analyze around 193 responses. Results stipulated that intention to use was directly influenced mainly by perceived usefulness, perceived ease of use, perceived risk, trust, and information integrity. Age, gender, and knowledge of data security and privacy were used to conduct a moderation analysis, which revealed significant variations between the groups in terms of the effectiveness of certain associations and the average responses between the variables. This will aid the researchers in identifying the latest trends and recognizing areas in the authentication system that need improvement.

摘要

数字健康是医疗保健未来增长的基础。医疗保健行业正在利用数字化转型来增强医生和患者之间的联系并改善健康结果。健康信息学领域的研究人员和专家迫切希望看到新技术如何应用​​于医疗保健领域，以实现实时健康监测，例如远程访问用户的健康数据、跟踪和警报以及实时报告，从而使医生能够更好地照顾他们的病人。通过提高健康记录的安全性、隐私性和互操作性，以及简化健康信息交换（HIE），可以鼓励医疗保健技术的采用。这可以通过使用三因素身份验证架构来实现，这不仅以低廉的价格增加了信息保障，而且还保护了分散系统中患者的隐私。因此，本文利用技术接受模型（TAM），反映了患者和卫生专业人员在健康信息技术的主要组成部分：电子健康记录（EHR）系统中使用和实施三因素认证的意图。用户身份验证是电子健康记录 (EHR) 中的一个重要组成部分，可保护患者信息并限制未经授权的个人访问医疗服务器。本研究旨在发现之间的关系 本文反映了患者和卫生专业人员在卫生信息技术的主要组成部分：电子健康记录（EHR）系统中使用和实施三因素身份验证的意图。用户身份验证是电子健康记录 (EHR) 中的一个重要组成部分，可保护患者信息并限制未经授权的个人访问医疗服务器。本研究旨在发现之间的关系 本文反映了患者和卫生专业人员在卫生信息技术的主要组成部分：电子健康记录（EHR）系统中使用和实施三因素身份验证的意图。用户身份验证是电子健康记录 (EHR) 中的一个重要组成部分，可保护患者信息并限制未经授权的个人访问医疗服务器。本研究旨在发现之间的关系感知有用性、感知易用性、感知风险、信任、安全和隐私、信息完整性、计算机自我效能以及对 EHR 系统使用三因素身份验证的意图。受访者被要求使用谷歌表格填写有关其健康数据的调查问卷，并使用偏最小二乘结构方程模型分析了大约 193 份回复。结果表明，使用意图主要受到感知有用性、感知易用性、感知风险、信任和信息完整性的直接影响。使用年龄、性别以及数据安全和隐私知识进行调节分析，揭示了各组之间在某些关联的有效性和变量之间的平均响应方面存在显着差异。这将有助于研究人员确定最新趋势并识别身份验证系统中需要改进的领域。