Researchers from Dartmouth found that when using large language models (LLMs) to draft responses to patient portal messages, clinicians may spend more time editing the AI responses than it would take to write them manually in the first place. Using more than 610,000 patient portal messages, the researchers created a training dataset of 144,000 clinician–patient conversations and tested multiple commercial and locally hosted LLMs against expert-written responses. In the study —which was presented at the …
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