That’s according to a new study published in the Journal of the American Medical Informatics Association.
The researchers analyzed 36 primary care encounters that used Google Speech-to-Text Clinical Conversation and Amazon Transcribe Medical. Nonlexical conversational sounds were recognized only 40.8 percent of the time by the Google software and 57.2 percent by the Amazon program, the Jan. 23 study found.
While nonlexical conversational sounds only accounted for 2.4 percent of the total words used, “incorrect recognition of them could result in inaccuracies in clinical documentation and introduce new patient safety risks,” the authors wrote.
The researchers are affiliated with UC Irvine (Calif.), California University of Science and Medicine in Colton, University of Maryland in Baltimore, University of North Carolina at Chapel Hill, and UC San Diego in La Jolla, Calif.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.