Thesis: AI Impact on Healthcare Services in UAE
Thesis Assignment 4: AI Impact on Healthcare Services in UAE General Assessment Guidance This thesis represents your summative assessment for this module and accounts for 100% of the final grade. Submissions received past the deadline will not be evaluated. Upload your work exclusively via the university’s Turnitin portal; submissions via email, cloud drives, or physical media are invalid. Word limit: 12,000–15,000 words. Submissions outside this range may compromise assessment criteria. Only your Student Reference Number (SRN) should appear; do not include names or personal identifiers. Total marks: 100. A minimum of 50% is required to pass. All sources must be cited using the Harvard Referencing System. Unreferenced material will be treated as plagiarism. Guidance is available through the university library portal. AI tools are permitted only for language checks, draft refinement, or as explicitly allowed in the assignment brief. A completed Assignment Cover Sheet must accompany your submission; failure to include it may render your thesis invalid. Assessment Brief Research Focus Your thesis should explore the impact of artificial intelligence (AI) on healthcare delivery in the UAE, analysing both practical and strategic implications. Approach this as an investigative study, uncovering how AI transforms clinical workflows, patient outcomes, operational efficiency, and regulatory compliance. Learning Outcomes LO1 – Formulate a research question that addresses a strategic healthcare challenge influenced by AI. LO2 – Demonstrate mastery of methodological design suitable for evaluating complex technological interventions. LO3 – Analyse and interpret quantitative and qualitative data, identifying patterns, limitations, and insights. LO4 – Provide evidence-based recommendations that inform policy, practice, or future research in UAE healthcare. Key Sections to Include Executive Overview Provide a concise synthesis of your thesis, summarising the research question, methodology, findings, and actionable insights. Highlight AI’s role in shaping healthcare delivery, supported by specific UAE examples. Context and Background Situate your research within the UAE healthcare ecosystem. Consider government initiatives, digital transformation strategies, hospital systems, and patient demographics. Include recent statistics or case studies to frame the relevance of AI. Problem Identification Pinpoint specific challenges or opportunities addressed by your research. Examples include diagnostic accuracy, predictive analytics, telemedicine efficiency, or AI-driven administrative processes. Avoid generic statements; ground your discussion in operational realities. Purpose of the Research Clarify the rationale for examining AI in UAE healthcare. Explain why this investigation matters for practitioners, policymakers, and patients. Emphasise potential benefits such as cost reduction, improved care quality, or regulatory compliance. Stakeholder Mapping Identify internal and external stakeholders, such as hospital administrators, clinicians, AI developers, regulators, and patients. Assess their influence, interests, and potential responses to your research findings. Use practical examples, e.g., how AI adoption affects nursing workflows or patient data security. Research Design and Analytical Methods Discuss your methodological choices in depth, including data sources, sampling strategies, and analytical frameworks. Evaluate secondary datasets, clinical records, or government reports. Incorporate statistical reasoning, thematic analysis, or mixed-method approaches as appropriate. Acknowledge limitations and potential biases. Findings and Interpretation Present insights derived from your analysis, highlighting correlations, trends, and anomalies. Connect findings directly to the research question, demonstrating how AI reshapes healthcare delivery. Provide visualisations, charts, tables, or diagrams, to clarify complex patterns. Recommendations and Strategic Implications Offer practical, evidence-based recommendations tailored to UAE healthcare stakeholders. Examples: scaling AI-assisted diagnostics, integrating predictive analytics in hospital management, or enhancing data governance frameworks. Discuss potential obstacles and mitigation strategies. Reflection and Contribution Conclude by reflecting on how your thesis contributes to knowledge, practice, or policy. Consider implications for future research, AI adoption strategies, or regulatory frameworks. Emphasise the strategic value of your insights in a UAE context. Thesis Structure Declaration Page Title Page Table of Contents Lists of Figures/Tables/Abbreviations (if required) Executive Overview Context and Background Problem Identification Purpose of the Research Stakeholder Mapping Research Design and Analytical Methods Findings and Interpretation Recommendations and Strategic Implications Reflection and Contribution Harvard References Appendices (if required) Word Count Breakdown (Approximate) Executive Overview – 800 Context and Background – 1,000 Problem Identification – 1,200 Purpose of Research – 700 Stakeholder Mapping – 1,000 Research Design and Analytical Methods – 3,500 Findings and Interpretation – 2,500 Recommendations and Strategic Implications – 2,000 Reflection and Contribution – 800 Total: 13,500 words Executive Overview Guidelines Summarise the thesis comprehensively, covering research objectives, methodology, insights, and recommendations. For merit: clearly link research methods to your findings. For distinction: demonstrate the strategic significance of AI adoption in UAE healthcare and justify methodological choices. References and Presentation Maintain consistent Harvard referencing. Use professional formatting, clear labelling of tables/figures, and logical numbering. Include a range of sources: peer-reviewed journals, government reports, hospital datasets, and credible industry publications.