My research in health law focuses on informed consent, patient autonomy, medical malpractice, and the changing relationship between patients, physicians, and technology. A recurring theme is the gap between information as a legal requirement and information as something that actually helps patients make meaningful decisions.

In my work on informed consent, I examine the costs and benefits of choice in medical decision-making. More information and more options can promote autonomy, but they can also create anxiety, confusion, regret, and decision fatigue. This work therefore asks how law should design disclosure duties around the real conditions in which patients make decisions.

My current work extends these questions to artificial intelligence in healthcare. AI systems can personalize disclosure, improve communication, and support shared decision-making. At the same time, patient-facing AI may reshape therapeutic relationships, create unhealthy dependence, delay human support, or shift responsibility onto patients and families. I therefore study how AI regulation should account not only for accuracy, privacy, transparency, and safety, but also for care, vulnerability, and institutional responsibility.

Representative topics include:

• Informed consent and patient autonomy
• The costs of medical choice
• AI-supported informed consent
• AI, vulnerability, and the duty to care
• Medical malpractice and dental malpractice
• Patient-physician-AI relationships