A new case study led by students and faculty from Columbia University and Duke, including Duke School of Nursing professor and AI Health Faculty Council member Michael Cary, PhD, and doctoral student Thomas Merrill explores how nurses increasingly encounter patients who bring AI-generated health information to the bedside. The paper highlights the ethical and clinical tensions that arise when AI tools interpret medical data without clinical context, and it introduces practical communication strategies nurses can use to navigate these situations. The authors propose two structured approaches—Ask-Balance-Clarify-Document for communication with patients and AI-SBAR for communication with clinical teams —to help nurses address AI-generated information safely and ethically.
