Article Excerpt: Artificial intelligence-generated draft responses to patient portal messages may not consistently reduce clinicians’ documentation burden and, in some cases, could add editing work, according to a Dartmouth-led analysis of more than 146 000 primary care portal conversations presented at the 2026 Annual Meeting of the Association for Computational Linguistics and published in the conference proceedings.
“We find that AI can sound like a doctor but not think like one,” Sarah Preum, PhD, MSc, assistant professor of computer science at Dartmouth and co-corresponding author of the study, said in the release. The finding is clinically relevant as health systems increasingly deploy large language models (LLMs) to address growing volumes of asynchronous patient messages, a workflow already linked to substantial after-hours electronic health record work in primary care.
Full Article: https://tinyurl.com/349f5a9c
Article Source: Patient Care