Drafting Replies to Patient Messages With AI

The burden of responding to clinician inbox messages may be a contributor to burnout. Eden English, MD, of UCHealth joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study published in JAMA Network Open, which examined the use of large language models to reply to patient messages. Related Content:

• Researchers Tested an AI Tool That Drafts Responses to Patient Messages—Here's What They Found
• Utility of Artificial Intelligence–Generative Draft Replies to Patient Messages
• Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?