Study shows AI’s potential to ease physician workload, highlights need for caution

Medical Economics April 25, 2024
Todd Shryock

7% of messages generated by AI were deemed unsafe

In a study published in Lancet Digital Health, researchers from Mass General Brigham showed the promising role of Large Language Models (LLMs) in reducing physician workload and enhancing patient education. However, the study underscores the necessity of vigilant oversight due to potential risks associated with LLM-generated communications.

Physicians today face mounting administrative burdens, contributing significantly to burnout rates. To address this challenge, electronic health record (EHR) vendors have increasingly turned to generative AI algorithms to assist clinicians in composing patient messages. Despite the potential efficiency gains, questions lingered regarding safety and clinical impact.

Lead author Dr. Danielle Bitterman, from the Artificial Intelligence in Medicine (AIM) Program at Mass General Brigham, said...

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