LLM Dissertation: AI Healthcare Privacy

I need a full-length LLM dissertation that critically analyses how artificial intelligence is used in healthcare and, in particular, how this intersects with privacy and data-protection law. The core question running through the work should be: “Are existing privacy frameworks adequate to govern AI-driven healthcare, and if not, what legal reforms are required?”

Scope
The paper must concentrate on privacy concerns and data protection rather than broader themes such as bias, discrimination, or general regulation. Comparative treatment of key jurisdictions is welcome as long as the discussion stays anchored to healthcare scenarios—diagnostic tools, clinical decision support, patient-data platforms, and similar applications.

Research & Methodology
I expect a rigorous literature review, doctrinal and policy analysis, and the integration of recent case law, regulatory guidance, and scholarly commentary on AI and healthcare. Empirical work is not required; a doctrinal or comparative legal method will suffice, provided arguments are well supported with primary and secondary sources.

Deliverables
• Detailed outline for approval
• Draft chapters submitted in agreed milestones
• Final dissertation with full citations and bibliography in the citation style my university requires (to be confirmed once we start)
• A brief reflective summary of key findings (1–2 pages) to assist with viva preparation

Acceptance Criteria
The final document must:
• Stay focused on privacy/data-protection implications of AI in healthcare
• Demonstrate critical engagement with at least two major privacy regimes (e.g., GDPR, HIPAA, or their equivalents)
• Contain original analysis and clear, logical structure suitable for LLM assessment
• Pass plagiarism checks and meet the university’s word-count requirement (I will provide the exact limit once you’re onboard)

If you have a strong background in health-tech law and can deliver authoritative, well-referenced work, let’s move forward.