As nurses increasingly use wall-mounted PCs and hand-held tablets, their use of patient charts is being replaced by computers. These devices have become a vital part of the modern healthcare environment, and even movies will soon need to upgrade their film sets to accommodate this technology. The use of hand-held tablets has been particularly helpful in hospitals, where nurses can call up the patient's chart with a click of a button. Eventually, the charts will be replaced by charts based on wall-mounted PCs and information can be downloaded without leaving the patient's room.
Nurses' intentions to use HITs in their practice depend on several factors, including performance and effort expectancy. If they believe that the HIT is user-friendly, they are more likely to adopt it in their daily work. Other factors that affect nurses' intention to use HITs in their practice include the organizational environment and social influences. In addition to performance, nurses' intention to use HITs in their work depend on how supportive they perceive their organizational environment to be.
The Unified Theory of Acceptance and Use of Technology (UTAUT) is a framework for studying the acceptance and use of technological innovations by nurses in technology-intensive healthcare settings. It incorporates several major theories and has been rigorously tested on various technologies. It examines the factors that influence nurses' intention to use new technologies, and can be used to amplify the benefits of using new technologies in nursing.
Hughes's study analyzes innovation by nurses, noting that nurse innovators must have the following characteristics: high tenacity, willingness to learn, and a strong desire for social recognition. Nurses' propensity to adopt new technologies is supported by the desire to improve patient care. However, the role of nurses is not completely clear. Although nurses are often the most numerous human resources in healthcare organizations, their presence in the system supports their ability to adopt new technologies.
Effort expectancy, or EE, of a new technology is a major determinant of nurses' intentions to use the technology. It can also influence nurses' performance expectations. This study aimed to answer this question by examining the effects of PE and EE on nurses' intention to use HEIMS. It concluded that PE and EE significantly predicted behavioral intention to use HEIMS. The three variables together explained 46% of the variance.
The research team developed an electronic questionnaire for nurses. The questionnaire was based on the original English version of the UTAUT model and was validated with a Likert-type rating scale. Nurses were asked to complete the survey on smart mobile phones. The structured questionnaire was coded using the ODK mobile phone application. Nurses were prettested several times for its suitability. Pretesting provided the necessary feedback to fine-tune the questionnaire. A preliminary analysis of the questionnaire using modified survey questions was conducted.
Among respondents, 63.1% said that they would use e-Health applications in the future. The intention of using e-Health was lower in people with low education. Overall, the study found that most people perceived e-Health applications to be useful, easy to use, and pleasant to interact with. Intention to use a new technology was associated with expected performance, effort, and self-efficacy. However, social influence did not have any effect on the intention of using the technology.
There is a positive relationship between intention to adopt new technologies and nurses' effort expectancy. Nurses' intention to adopt new technologies depends on three factors: the technology's facilitating conditions, intention to use it, and social influence. The results of this study support this relationship. The results of the UTAUT model show that intention to adopt new technologies is positively related to effort and performance expectancy. The findings also support the notion that the social influence of new technologies does not significantly affect nurses' intention to use it.
Nurses who have a higher degree of experience in the intensive care unit are more confident and less influenced by the opinions of their colleagues. Nurses in these settings expect new technology to improve the quality and safety of care. They also expect it to reduce labor costs. Older nurses are less influenced by peers and expect new technology to be effective and save time. These factors can help nurse's confidence about the new technology.
Although social influence is not significant in the UTAUT model, it does have a positive impact on intention to adopt new technologies. In younger nurses, the relationship between intention and effort is stronger. Nurses are also more likely to benefit from the inclusion of caring colleagues. Furthermore, they may benefit from the downsizing of expectations and the structuring of shifts with passionate colleagues. The adoption of new technologies is not limited to the health care sector, but is also applicable in other professions, including the pharmaceutical industry.
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