Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe

LLM-generated Ambient notes demonstrated quality comparable to physician-authored notes across multiple specialties. While Ambient notes were more thorough and better organized, they were also less succinct and more prone to hallucination. The PDQI-9 provides a validated, practical framework for evaluating AI-generated clinical documentation. This quality assessment methodology can inform iterative quality optimization and support the standardization of ambient AI scribes in clinical practice.