Abstract:

Nowadays, smart technologies that are rapidly developing are effective in facilitating the lives of individuals. Smart technologies that can track individuals’ health processes can support the philosophy of protective and disabled medicine by instantly collecting health data. With the use of personal intelligent technologies in the health sector, we can get information about our health much faster. The main objective of this study is to investigate and model the factors that influence individuals’ intentions to use “personal smart technologies” (PATs) in healthcare. The study discussed a new model developed on the basis of technology acceptance model, innovation diffusion theory, technological innovation, protection motivation theory and privacy analysis theory, and the model was developed with survey results obtained from 415 participants. For the analysis of the research model, a structural equality model was developed using SmartPLS 3.2.3. In the theory and models used in the model of the research, with the dimensions included and added in order, the detected benefit, the detected usability, technological innovation, compatibility, probability, image, the detected importance, the detected security gap, cost, the detected privacy risk, the detected advantage, behavioral intention, attitude, technological concern, habit and social impact. When hypotheses are tested whether there are gender differences, it is observed that women focus on probability, technological concern and technological innovation compared to men. These factors should be taken into account when designing a special KAT health technology product for women users. In addition, it appears that all individuals, regardless of gender, pay more attention to suitability, attitude, perceived advantage and perceived usability in the adoption of CAT technology products in healthcare.

Abstract:

Nowadays, fast developing smart technologies are effective in facilitating the lives of individuals. Intelligent technologies that can monitor the health processes of individuals can collect health data momentarily and support the philosophy of protectionist and disabling medicine. By using personal smart technologies in the health sector, we can reach our health information much faster. The main aim of this study is to investigate the factors affecting the intention of individuals to use niyet personal smart technologies akıllı (CAT) in health services. In this study, a new model developed based on the technology acceptance model, innovation diffusion theory, technological innovation, conservation motivation theory and privacy analysis theory is discussed. The structural equation model was developed by using SmartPLS 3.2.3 for the analysis of the research model. The dimensions and dimensions included in the theory and models used in the model of the research, respectively, perceived benefit, perceived ease of use, technological innovation, compatibility, testability, image, perceived materiality, perceived vulnerability, perceived confidentiality risk, perceived advantage, behavioral intention, attitude , technology anxiety, habit and social impact. When hypotheses are tested for differences between genders, it is observed that women attach importance to testability, technology anxiety and technological innovation. These factors should be considered when designing a special KAT health technology product for female users. Moreover, it is seen that all individuals, regardless of gender, attach more importance to conformity, attitude, perceived advantage and perceived ease of use in the adoption of KAT technology products in health services.

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