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A new NYU Langone Health study shows that generative artificial intelligence compares favorably to provider responses when answering patient questions in electronic health record email baskets – and could help reduce the documentation burden for clinicians.\Led by researchers at the New York University Grossman School of Medicine, the study found that a genAI messaging tool not only drafted accurate responses to patient EHR queries, but its responses showed greater perceived empathy. It was common for physicians to receive more than 150 In Basket messages per day during the pandemic, representing a more than 30% annual increase in daily messages, according to Dr. Paul Testa, NYU Langone's chief medical information officer.NYU Langone has looked at how to address note bloat and other documentation burdens that are major sources of physician burnout.
It was common for physicians to receive more than 150 In Basket messages per day during the pandemic, representing a more than 30% annual increase in daily messages, according to Dr. Paul Testa, NYU Langone's chief medical information officer.NYU Langone has looked at how to address note bloat and other documentation burdens that are major sources of physician burnout. For this new study, medical researchers asked sixteen primary care physicians to rate 344 randomly assigned pairs of AI and human responses to patient messages on accuracy, relevance, completeness and tone.
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