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MoHTAM: A Technology Acceptance Model for Mobile Health Applications

机译:MoHTAM:移动医疗应用程序的技术接受模型

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In spite of the advancement and variety of available mobile based applications, there is an eminent need to investigate the current position of the acceptance of those mobile health applications that are tailored towards the patients' medical information management and access. This paper explores and analysis the technology acceptance of the use of smart mobile phones from users' perceptions, viewpoint, and experience. The paper will focus on studies of the factors affecting the intention to use the smart mobile phone in the medical domain. Our proposed Mobile Technology Acceptance Model (Mo-HTAM) assessed the significance of the correlation between technology design, perceived ease of use, perceived usefulness as independent factors and the intention to use m-Health services as the dependent factor. The correlation coefficient analysis indicated that there is a significant relationship between the major constructs. Rigorous analytical testing confirmed that there is a direct relationship between social, cultural and technological constructs with intention to use m-Health applications. The model indicated that a well-informed technology design will increase the intention to use m-Health application, and perceived usefulness is more significant to the intention to use m-health applications than the perceived ease of use. These findings indicated that intention to use mobile health informatics is formed by the perceptions of the user of m-Health technology design approach, especially in relation to the navigation and the data presentation on the mobile device.
机译:尽管可用的基于移动的应用程序不断发展和多样化,但是迫切需要调查那些针对患者医疗信息管理和访问量身定制的移动健康应用程序的接受现状。本文从用户的感知,观点和体验中探索和分析了智能手机使用的技术接受度。本文将重点研究影响在医疗领域使用智能手机的意图的因素。我们提出的移动技术接受模型(Mo-HTAM)评估了技术设计,感知的易用性,感知的有用性(作为独立因素)和使用m-Health服务的因果关系之间的相关性。相关系数分析表明,主要结构之间存在显着关系。严格的分析测试证实,打算使用移动医疗应用程序的社会,文化和技术结构之间存在直接关系。该模型表明,消息灵通的技术设计将增加使用m-Health应用程序的意图,并且感知的实用性对于使用m-health应用程序的意图比感知的易用性更为重要。这些发现表明,使用移动健康信息学的意图是由移动医疗技术设计方法的用户的感知所形成的,尤其是与导航和移动设备上的数据表示有关的感知。

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