Radiology: white noise can increase speech recognition accuracy

white noise can increase speech recognition accuracy I came across the following article from Health Imaging & IT magazine this morning. According to a recent study conducted at the University of Maryland Medical Center, the introduction of white noise as part of the acoustic background has a positive impact on speech recognition accuracy…

Although radiology practices pay significant attention to the environment for diagnostic image interpretation, few give as much consideration to the acoustic workspace in which the physicians dictate their clinical report.

According to Joseph Zwemmer, MD, who presented the results of the research at the 93rd annual meeting of the Radiological Society of North America (RSNA), speech recognition technology is now used by almost half of the academic and approximately 25 percent of private practices in diagnostic radiology.

Zwemmer reported that dictated reports were compared to the original report to determine the number of errors present. The researchers found that the mean baseline transcription error rate (TER) was 11.6 percent (range 6.5 percent26.1 percent). However, the TER at the four white noise levels was 10.3 percent, 12.3 percent, 13 percent and 13.5 percent, respectively.

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