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An empirical investigation of Technology Readiness among medical staff based in Greek hospitals

机译:希腊医院医务人员对技术准备程度的实证研究

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摘要

Technology readiness (TR) represents an individual's mental readiness to accept new technologies. Although the TR scale has been used in many studies, its application in the healthcare context is limited. This paper focuses on identifying the TR profiles of medical staff and to model preference TR variations with respect to computer use, computer knowledge and computer feature demands. The study reports results from a nationwide study conducted in Greece, during a three-year period, which sampled responses from 604 physicians and nurses working in 14 Greek hospitals. Exploratory Structural Equation Modelling analysis is used in order to confirm the structure of the Technology Readiness Index. The results confirm the five groups of the TR taxonomy. Statistical differences were found between classes in information and communication technology (ICT) knowledge, ICT feature demands, hours of use per week as well as ICT use performance, but not in the general use of ICT. The results facilitate comprehension of the factors, which influence the use of ICT by medical staff and, in addition, they convey important policy and managerial implications. In conclusion, medical staff should be treated according to its TR taxonomy classes in order to expedite the acceptance and use of an ICT system.
机译:技术准备就绪(TR)代表个人接受新技术的心理准备。尽管TR量表已在许多研究中使用,但其在医疗保健领域的应用受到限制。本文着重于确定医务人员的TR档案,并就计算机使用,计算机知识和计算机功能需求方面的偏好TR变化建模。该研究报告报告了一项为期三年的在希腊进行的全国性研究的结果,该研究对在14家希腊医院工作的604位医生和护士的反应进行了抽样调查。为了确定技术就绪指数的结构,使用了探索性的结构方程建模分析。结果证实了TR分类法的五个类别。信息和通信技术(ICT)知识,ICT功能要求,每周使用小时数以及ICT使用性能之间的类别之间存在统计差异,但在ICT的一般使用方面没有统计差异。结果有助于理解影响医务人员使用ICT的因素,此外,它们还传达了重要的政策和管理意义。总之,应按照TR分类法对医务人员进行治疗,以加快ICT系统的接受和使用。

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