Speech recognition software can be leveraged to tell if a radiologist is stressed, prompting individualized interventions to improve quality and satisfaction.
C. Matthew Hawkins, MD, discusses challenges of natural language processing and how more standardization can reduce error rates of speech recognition software.
Whether you’ve embraced voice recognition software or rely on a transcriptionist, there’s still the problem of large amounts of text that’s largely unusable. Enter natural language processing, which makes structured reporting and data mining possible by coding the text and extracting data.
Radiologists at University of Chicago Medical Center set out to decrease their own error rates, and found that with peers scoring and reviewing each others’ reports, and then discussing them at section meetings, error rates dropped.
C. Matthew Hawkins, MD, discusses challenges of natural language processing and how more standardization can reduce error rates of speech recognition software.
Diagnostic Imaging spoke with Shawn Putman and Jessica Roberts at Muskogee Regional Medical Center in Oklahoma, where they are using voice recognition software and seeing the benefits.
