Background: Leveraging healthcare technology improves human development and well-being. However, adoption is frequently delayed by behavioural and psychological barriers, such as perceived usefulness, trust, and organisational readiness. This review examines the suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM) frameworks in healthcare settings, focusing on behavioural, educational, and psychological factors that influence technology adoption. Methods: A total of 20 peer-reviewed articles from 2019 to 2024 were examined. Results: The review identified significant organisational and psychological obstacles, including a lack of trust, inadequate training, and organisational support. While the UTAUT provided a more comprehensive viewpoint, it needed to be modified to include context-specific factors, including trust, facilitating circumstances, and educational interventions. Meanwhile, the TAM’s emphasis on perceived usefulness and ease of use was shown to be insufficient for dealing with complex healthcare situations. Conclusions: Interventions targeting stakeholders’ organisational and psychological preparation and educational strategies are essential to overcoming resistance and enhancing trust. Future research should look into integrative frameworks incorporating behavioural, psychological, and instructional tactics to improve the use of technology in healthcare.

The Delphi method has been used as a way to reach consensus among experts established in the 1950s. The method was originally conceived to be used as a forecasting instrument for business in a mixed-method study. The Delphi method is usually conducted with elements of anonymity, iteration, controlled feedback and statistical group response. Delphi method had traditionally used expert opinions through methods such as interviews and brainstorming for the initial point of studies conducted. However, with the expanding volumes of research papers and articles in this age, can techniques such as Traditional Literature Review (TLR) and Systematic Literature Review (SLR) also be viable technique to be an initial point of studies for a Delphi study. As such this study aims 1) to examine and discover whether TLR and SLR are appropriate techniques to be used in a Delphi study and 2) construct a Delphi study process overview. This study adopts a methodology in which seven articles that have used TLR and SLR in their Delphi study will be analyzed. The results shows that TLR and SLR are appropriate techniques to be used in a Delphi study and that there are two types of processes to incorporate them into the study. We have also constructed a Delphi process overview through our analysis. We hope that the results of this study will be able help researchers who are interested in doing a Delphi study to know on what are the benefits of TLR and SLR in these studies along with how to incorporate them.

Background: Leveraging healthcare technology is necessary to improve human development and well-being. However, effective adoption is frequently delayed by behavioural and psycholog-ical barriers, such as perceived usefulness, trust, and organisational readiness. This systematic re-view examines the suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM) frameworks in healthcare settings, focusing on understanding the behavioural, educational, and psychological factors that influence technology adoption. Methods: A total of 20 peer-reviewed articles published between 2019 and 2024 were thoroughly reviewed in this study. The psychological elements impacting technology acceptance and ways for overcoming resistance were identified by examining research that used TAM, UTAUT, or their variations in healthcare settings. Results: The review identified important or-ganisational and psychological obstacles to the use of technology in healthcare. While UTAUT provided a more comprehensive viewpoint, it needed to be modified to include context-specific factors including trust, facilitating circumstances, and educational interventions. Meanwhile, TAM's emphasis on perceived usefulness and ease of use was shown to be insufficient for dealing with complex healthcare situations. Conclusion: Both TAM and UTAUT are helpful techniques for understanding the adoption of healthcare technology when appropriately adjusted. The results highlight the importance of interventions targeting stakeholders' organisational and psychological preparation, together with the educational strategies in order to overcome opposition and enhance trust. Future research should look into integrative frameworks that incorporate behavioural, psy-chological, and instructional tactics in order to enhance the use of technology in healthcare.

Background: Even while technology is advancing quickly in many areas, the healthcare industry, particularly emergency departments, is slow to incorporate new technologies. The majority of research is on healthcare in general, with few studies examining medical officers’ adoption of technology in emergency departments. Methods: This study used a comprehensive review design and examined a total of 30 peer-reviewed articles that were published between 2019 and 2024. The articles were reviewed by using keywords such as “technology adoption”, “influence factors”, “medical technology”, “barriers”, “healthcare”, “emergency departments”, “ED”, and so on. This review aimed to identify barriers and facilitators to provide insights to improve technology adoption in emergency departments. Results: The studies were conducted using different techniques, including surveys, interviews, and systematic reviews, to examine technology adoption in emergency departments across different geographic locations. The technologies studied include clinical decision support systems, telemedicine, electronic health records, and AI-based innovations. Several barriers were discovered in this study, including high employee turnover, accessibility issues, insufficient technology availability, resistance to change, and excessive workload. Key enabling facilitators were also identified, namely, good collaboration and communication, a supportive and engaged management team, and rigorous education and training. Conclusions: This study highlights that tailored strategies and collaboration are essential to overcoming barriers in emergency departments, which will lead to faster adoption of technologies that improve patient outcomes and efficiency. Further research will involve performing a deeper study of these findings and investigating more creative techniques to improve technology integration and further establish higher standards of care inside emergency departments.

Cloud computing has been shown to have positive impacts on the organization such as “cost savings”, “enhanced efficiency”, etc. Cloud computing has been implemented in multiple sectors around the world including the healthcare sector. The rise of chronic illnesses requires the assistance of new technologies such as cloud computing to bring flexibility and convenience to treat these illnesses. However, as with all IT architecture projects, there are risks and challenges to adopting cloud computing. As such this study aims to find the prevailing risk classes of cloud computing projects in healthcare through risk classes discussed in technical reports and standards. This study will employ TLR as a method for this study. Through this study, we found five technical reports and standards that discuss the risk management of cloud computing. The result shows that there are 13 prevalent risk classes of cloud computing. We hope that the results discovered through this study can help academics, researchers, and practitioners to recognize what are the prevalent risk classes currently discussed regarding cloud computing and whether the discussion has matured or not.

The fourth industrial revolution has considerably enhanced technology, resulting in disruptive developments across various industries, including higher education. Generation Z, known as digital natives, has specific digital preferences, making mobile applications essential for improving their educational experience. The present study aims to investigate the digital transition in higher education, emphasizing using mobile applications as campus support services for Generation Z students. The study investigates the factors influencing mobile app acceptance and usage, intending to enhance educational support services' efficiency and quality among 100 students from different universities. By performing multiple linear regression, the study revealed that perceived usefulness is the most critical factor driving students' intention to use mobile apps in higher education. In contrast, other elements such as ease of use, competence, accessibility, and data privacy were not deemed significant concerns by the students. The findings are intended to advise higher education institutions on integrating mobile apps to assist Generation Z better, eventually leading to increased student engagement and satisfaction. This study emphasizes the significance of mobile technology in current educational contexts and offers practical insights for universities looking to use digital technologies to improve campus support services. However, the outcome may vary for students from different demographic and socio-economic backgrounds.