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1.2. Statement of the Problem

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Confirmatory factor analyzes showed a strong impact of each of the four motivating factors on HIT adoption (≥ 0.78) and a moderate effect (0.66) on big data and IoT readiness in HIT adoption. In addition, I would like to express my gratitude to the faculty members of Abu Dhabi University for their constant support and provision.

Introduction

Introduction

Overall, there is a significant lack of research on what hinders the adoption of HIT in the UAE. The most serious barriers to HIT adoption highlighted in the literature include initial high costs, adoption, workflow disruption, privacy and 315.

Statement of the Problem

Therefore, this research attempts to fill this research gap by considering all four major stakeholder categories (employees, patients, community members and future foresight experts) in the healthcare system. This approach, although challenging, allows an analysis of the motivators for and barriers to HIT adoption in the healthcare sector.

Research Context

These processes include everything from research to the drug promotion phase (Ledesma et al., 2014). Subsequently, the distribution industry sells and distributes healthcare sector products to end users (i.e. healthcare facilities and patients) (Ledesma et al., 2014).

Justification for the Research

  • Academic Perspective
  • Industry Perspective

Finally, this research blends the stakeholder theory and the UTAUT model to provide a deeper insight into the patterns of HIT adoption in the UAE. Despite the obvious, documented benefits of HIT for all healthcare stakeholders, the diffusion of technology in the UAE is still slow.

Research Objectives (ROs) and Research Questions (RQs)

Finally, analyzing future foresight experts' opinions is a new approach in academic research and directly involves the industry in shaping HIT adoption in the UAE. What are the motivators and barriers affecting the adoption of HIT in the UAE.

Research Contribution

Prioritization of the drivers and barriers to HIT implementation identified by key stakeholder groups. Data from stakeholder groups in the UAE is collected and analyzed on the already identified HIT motivators and barriers.

Summary

Chapter four provides the design and data collection methods across a series of five studies that explored the motivators for and barriers to HIT adoption in the UAE, while Chapter five presents and discusses the findings. Chapter six elaborates on the implications of these findings, including suggesting avenues for future research, while Chapter seven offers concluding remarks.

Literature Review

HIT Overview

Another related technology that has recently grown in popularity is software-as-a-service (SaaS) applications, which can be used to document and manage patient information (Oh et al., 2015), and which, when used with cloud-based storage, provides accessible, durable, and secure data storage (The National Institute of Standards and Technology, 2012). Because of its ability to efficiently aggregate otherwise scattered patient data, HIT has the potential to not only control healthcare costs, but also to improve the quality of care provided and increase access to such care (Kruse & Beane, 2018 ; Ojo et al., 2007 ).

HIT in Healthcare Systems

The UAE's healthcare system is both public and private (although it has remained largely centrally managed and funded) and relies heavily on domestic resources. In Abu Dhabi, the largest of the UAE's seven emirates, the Health Authority of Abu Dhabi (HAAD) has implemented two programs: the Weqaya program, which is a preventive 909.

The Role of Stakeholders

This research seeks to bring together four stakeholder groups (employees, patients, UAE nationals and residents, and forecasters) to provide a unique perspective on the perception of HIT in the UAE context. Therefore, it is crucial to understand the motivations and perspectives of stakeholders to ensure that they will adopt the desired technologies and initiatives.

Motivators for HIT Adoption

Through a series of surveys of healthcare professionals, they found that facility size, staff capacity, knowledge management skills, and senior management innovation significantly influenced the decision to use technology. A summary of the main reported motivators for the adoption of health technologies is presented in Table 2.1.

Barriers to HIT Adoption

Although the UAE is allocating large amounts of resources to increase HIT adoption rates, the public healthcare system is still far from enjoying optimal results due to a lack of prior research in the field (El-Hassan, Sharif, Al Redha , & Blair, 2017). Lack of administrative and political support. descriptive-comparative approaches with qualitative ones in five countries. Education and training; Lack of administrative and political support. Regression model to explore organization-level and individual-level effects.

Summary

Researching the position of a limited number of groups does not provide the greatest understanding or the best result for the healthcare market. To this end, the present research adds to the literature by including all relevant categories of stakeholders (health care providers, patients, the public and forecasters) in the health sector, which will provide valuable insights. Furthermore, in addition to findings from a future study on motivators for HIT adoption (authored by the present author), the inclusion of anticipatory experts is novel in academic research on HIT adoption.

Theoretical Framework and Hypotheses Development

  • Stakeholder Theory
  • Stakeholder Theory in Healthcare
  • The Unified Theory of Acceptance and Use of Technology (UTAUT) Model
  • The Unified Theory of Acceptance and Use of Technology (UTAUT) Model
  • The Present Research
  • Summary

Thus, this research uses stakeholder theory to provide a focused analysis of the perspectives of four major stakeholder groups (employees, patients, residents, and forecasters) on technology adoption in healthcare. UTAUT also assumes that the influence of the four constructs is shaped by age, gender, experience, and voluntary use (Venkatesh et al., 2003). Additionally, most research on HIT adoption has been qualitative in nature (again, see Table 3.1).

Data and Methodology

Step 1 (Qualitative): Exploratory Factor Analysis (EFA)

  • Participant Selection
  • Instrument and Data Collection for Exploratory Analysis
  • Data Analysis: Exploratory Factor Analysis (EFA)

Employee Any individual, male or female, working in the health care sector, regardless of the nature of their work (doctor, nurse, technician, administrator or others), with no limit on their years of experience. In addition, they provide information about the future, which is part of the planning and decision-making processes. Representatives of the four stakeholder groups were invited via email to participate in an interview.

Step 2 (Quantitative): Factor Analyses and Structural Equation Modeling

  • Motivators for and Barriers to HIT Adoption
  • Participants
  • Instruments and Data Collection
  • Data Analysis: Confirmatory Factor Analysis (CFA)

For the motivators, participants (N women), representative of the four stakeholder categories in the UAE, were electronically invited and completed the survey. The demographic breakdown of the population, including the number of individuals in each stakeholder category, is shown in Table 4.3. For the barriers, participants (N = 150; 85 women), representative of the four stakeholder categories in the UAE, were electronically invited and completed the survey.

Summary

EFA results revealed four components with strong factor loadings (> 1): quality management (QM); information exchange (IS); strategic management (SG); and technology infrastructure (IT). This is probably why the UAE tops the global Future Health Index (Institute for the Future, 2016). The United Arab Emirates is an excellent example of the implementation of innovative health technologies for the population.

Dissertation Findings and Analysis

Test for Assumptions

Response data on motivators and barriers were investigated for their variance, outliers, and normality using skewness and kurtosis tests.

Common Method Bias

Based on the values ​​obtained, each of the seven indices indicates that the model achieved a good fit. The results of the EFA revealed four components with strong factor loadings (> 1): organizational strategy (ORGS), technical barriers (TEBA), readiness for big data and IoT (RTGB), and orientation (ORI). This research has explored, examined and prioritized the barriers affecting the adoption of modern technologies by major industry stakeholder groups in the context of the UAE healthcare arena.

Figure 5.1. Measurement model for motivators (first-order CFA model)
Figure 5.1. Measurement model for motivators (first-order CFA model)

Step 1 (Qualitative): Exploratory Factor Analysis (EFA) Results

Step 2A: Quantitative Analysis of Motivators

  • Quality Management (QM)
  • Information Sharing (IS)
  • Strategic Governance (SG)
  • Structural Model for Motivators (Second-Order CFA Model)

Step 2B: Quantitative Analysis of Barriers

  • Organizational Strategy (ORGS)
  • Technical Barriers (TEBA)
  • Readiness for Big Data and IoT (RTGB)
  • Orientation (ORI)
  • Measurement Model for Barriers (First-Order CFA Model)
  • Structural Model for Motivators (Second-Order CFA Model)

Implications and Suggestions for Future Research

Discussion of Results

This research identified and explored the motivators and barriers influencing the adoption of HIT in the UAE from the perspectives of four key healthcare stakeholder groups: providers; patients; inhabitants; and Accredited Future Foresight Professionals. Motivators for HIT Adoption Barriers to HIT Adoption 2380. asked but modeled, providing a deeper understanding of the interrelationship of various factors and their impact on HIT adoption. In this regard, the UAE can be considered as a model to neighboring countries and even countries and organizations around the world on how to effectively stimulate the HIT sector to improve HIT adoption.

Motivators for HIT Adoption

The UAE has been a prominent example of healthcare technology growth, especially in the Arab world, with its Vision 2021. Overall, the UAE can be seen as an important example of healthcare technology growth in the Arab world with its Vision 2021. This scope of this research is geographically limited to HIT adoption from the perspective of stakeholders in the UAE.

Barriers to HIT Adoption

This research has focused on barriers to the adoption of HIT as reported by the four relevant categories of healthcare stakeholders in the UAE in an effort to understand what the main factors have been in the adoption of key HIT 2570. Individuals seem to have largely consistent views on this (RTGB explained only 8.54% of the total variance), but did not predict HIT adoption as strongly (0.66). However, it should be noted that these findings are from a single nation, which could limit their generalizability, as these attitudes may be unique to the UAE's cultural milieu and its ambitious goal of being a top healthcare destination.

Conclusion

Managerial Implications

Thus, the healthcare industry is expected to experience a number of challenges to become more equitable, efficient and offer high-quality services in line with the goals of the UAE Vision 2030 (The United Arab Emirates Government, 2016). The UAE is thus in a good position to successfully implement innovative healthcare technology for the population as it has put significant effort into making healthcare accessible by rising above conventional ideology and implementing the most modern, advanced healthcare technology available available in area. As such, these changes should be based on a framework that can account for the evolution of the motivators for and barriers to HIT adoption.

Theoretical Implications

Technological changes in the health sector have had different effects on different groups of stakeholders. These efforts should standardize the basic principles of HIT adoption and meaningfully contribute to the literature on organizations' perspectives on technological innovation in the healthcare ecosystem. As such, this research can be considered as a starting point for the discussion on whether eHealth system design in the UAE should be approached from a top-down or bottom-up perspective.

Recommendations

The proposed framework provides insights both for researchers and policy experts and a roadmap for practitioners regarding the effective HIT implementation in the UAE and perhaps other countries. From a management perspective, the identification of these motivators raises awareness of how to improve the healthcare system in the UAE by organizing and leading initiatives to determine opportunities within the sector. However, these goals can only be achieved if HIT is implemented in the healthcare system, allowing for a seamless integration of all stakeholders.

Limitations and Future Research Directions

Future research can study the commonalities and differences in the responses of the stakeholder groups and try to understand the reasons behind such patterns. Conduct similar studies in various other nations and populations globally, particularly nations making remarkable progress in the HIT sector, to understand what works, as well as nations struggling in the healthcare sector to understand their major barriers. Explore the commonalities and differences in the responses from the stakeholder groups and try to understand the reasons behind 2975.

Conclusion

An investigation of health information technology (HIT) adoption: A case study in Saudi Arabian public hospitals. The benefits of health information technology: A review of the recent literature shows predominantly positive results. Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Cost of Medical Care.

Gambar

Figure 5.1. Measurement model for motivators (first-order CFA model)
Figure 5.2. Structural model for motivators (second-order CFA model)2071
Figure 5.3. Structural model from the first-order CFA on barriers, showing how  items load onto the barrier factors and how the factors correlate

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