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Public Perception and Adoption of AI in Clinical Decision-Making in the UAE.
This report analyzes the integration of AI in healthcare systems across the UAE, focusing on how it impacts patient care and clinical outcomes. It explores public and professional perceptions of AI, detailing varying levels of acceptance and trust in AI-assisted clinical decision-making. The report identifies challenges such as technical barriers, cultural factors, and regulatory issues while highlighting economic benefits from AI implementation. Strategic recommendations are offered to enhance AI adoption, focusing on data governance, professional training and ethical considerations.
AI in HealthcareClinical Decision-MakingData GovernanceDigital HealthEthical AIGCCUAE
Celso G, Ghost Research
2025-08-31
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(exclusive of tax)Single User License55Pages of Deep Analysis
183Credible Sources Referenced
5Data Analysis Tables
6Proprietary AI Visuals
Perspective.
PurposeTo provide a comprehensive analysis of the state and future prospects of AI in clinical decision-making in the UAE.
AudienceHealthcare professionals, policymakers, technology developers, and investors.
Report LengthComprehensive
Focus Areas.
Industries JobsHealthcare, technology innovation, and clinical decision-making roles.
Geographic AreasUnited Arab Emirates
Special EmphasisEmphasis on innovation, strategic government support, and regulatory frameworks.
Report Layout.
Introduction
- Background on AI in Healthcare Globally
- UAE's Healthcare System Overview
- Significance of Clinical Decision-Making AI in the UAE
- Report Objectives and Methodology
Current Landscape of AI in UAE Healthcare
- Overview of AI Implementation in UAE Hospitals and Clinics
- Key AI Technologies Being Deployed
- Major Stakeholders and Technology Providers
- Regulatory Framework Governing AI in Healthcare
Public Perception Analysis
- Survey Data and Research Findings on Patient Attitudes
- Healthcare Professional Perspectives
- Cultural and Religious Considerations
- Comparison with Global Public Perception Trends
Adoption Rates and Implementation
- Statistical Analysis of AI Adoption
- Regional Differences Within the Emirates
- Comparison with GCC Countries and Global Benchmarks
- Case Studies of Successful Implementations
Challenges and Barriers
- Technical Challenges
- Cultural and Social Barriers
- Regulatory Hurdles
- Educational and Training Gaps
Ethical and Legal Considerations
- UAE-Specific Legal Framework
- Patient Privacy and Data Protection
- Ethical Considerations
- Liability and Accountability
Economic Impact
- Cost-Benefit Analysis
- Healthcare Economic Outcomes
- Investment Landscape
- Long-Term Financial Sustainability
Future Outlook and Recommendations
- Projected Trends for Next 5-10 Years
- Strategic Recommendations for Stakeholders
- Policy Recommendations for Government Entities
- Research and Development Opportunities
Case Studies
- Detailed Examples of Implementation
- Analysis of Outcomes and Lessons Learned
- Patient and Provider Testimonials
- Failed Implementations and Lessons Learned
Conclusions
- Synthesis of Key Findings
- Implications for UAE Healthcare System
- Critical Success Factors for Future Adoption
References
- Citation of Sources
Author’s Profile
- Celso G - Subject Matter Expert
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Insights.
AI in UAE healthcare is rapidly growing, driven by government initiatives and investment.Public trust in AI is generally positive but requires human oversight.Technical, cultural, and regulatory challenges need addressing for successful AI implementation.Economic benefits of AI include efficiency improvements and cost savings.Strategic recommendations focus on data governance, training, and regulatory enhancements.Key Questions Answered.
