# Technology Acceptance in Healthcare: A Systematic Review
## 5 Discussion  
The results of this review are believed to add a thorough understanding of the literature on technology acceptance in healthcare. The fundamental goal of this study was to review the empirical studies and analyze the results to understand the research situation of technology acceptance in the healthcare sector. This review covered the studies conducted in the recent decade to explore the acceptance of different technologies using different acceptance theories, various factors, and different healthcare organizations or settings. Figure 10 represents the mind map for the results summary. Concerning the study characteristics, the analysis classified the studies according to the studied model to address the prevailing technology acceptance models in the healthcare domain. The TAM, its extensions, and modifications are leading the research of technology acceptance in healthcare. It was also found that several studies have discussed integrated models. In general, the main aim of the integration in those studies was to improve the explanatory power of the TAM model. These results align with what was proposed by [47] regarding the power of TAM in investigating the user's acceptance of technology in general. Moreover, the UTAUT and its extensions were widely employed to explore the user's acceptance of several healthcare technologies. This observation is compatible with the conclusions of prior research [28; 29]. Additionally, the results showed that the number of studies, including the TPB model, is reasonable. These findings confirm the importance of studying various models as performed by [18; 31], to better understand technology acceptance and facilitate building more unified models [74]. This study also explored the key factors that were extensively employed in the recent literature to understand the acceptance of various healthcare technologies. The results showed that behavioral intention was utilized 125 times in the reviewed studies. This finding is significant to confirm the need for behavioral intention within the theory and practice of technology acceptance. Consequently, providers of information technologies and healthcare organizations have to focus on the users' intention to enhance the level of acceptance, regardless of whether they are professional staff or patients. Perceived ease of use and perceived usefulness have been explored in numerous studies to assess the acceptance of various technologies in healthcare [60; 67; 68; 69]. These two factors are the core of the TAM. Other studies have confirmed that these constructs could explain  
Figure 9: Frequency of studies per year. about 40% of users' acceptance and intention to use specific technologies [33] in various domains, including healthcare [30; 75; 76]. Instead, the UTAUT was found to extend the explanatory power by 20% to 30% more than TAM regarding user's behavior intention [31]. The capability of UTAUT to explain the intention to use specific technology can reach 70%, especially with the injection of facilitating conditions and social influence factors, with age, gender, experience, and voluntariness as moderators [33]. The TAM, UTAUT, and their constructs are robust theories to understand the acceptance of various technologies through different users. The analysis revealed that the user's performance and its related expected positive gain had been investigated extensively. Those expected positive performance gains are linked with the perceived usefulness factor and its equivalent performance expectancy [9; 18; 31]. This is also applied to the perceived ease of use and its identical factor, effort expectancy. These results indicate that it is mandatory to extend the levels of convenience in information technologies and make them more user friendly. In addition, the clear presence of the facilitating conditions factor and its equivalent factors \"compatibility\" and \"perceived behavioral control\" confirm the users' need for support and motivation to accept and use information technologies in healthcare.