Although computerized speech recognition (SR) may lighten physicians' documentation load, a new study published online July 6 in JAMA Network Open calls into question the accuracy of this time-saving software. The data reveal an error rate of more than seven words per 100 in unedited SR-generated documents, including clinically significant errors in one of every 250 words that could affect care.

"With the rapid adoption of SR in clinical settings, there is a need for automated methods based on natural language processing for identifying and correcting errors in SR-generated text," write Li Zhou, MD, PhD, an internist and researcher in medical informatics at Brigham and Women's Hospital and Harvard Medical School in Boston, Massachusetts, and colleagues.

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