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Home » News » Quality and Safety | RIS and PACS
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Speech recognition leads to imaging report errors, study says

September 22, 2011 | Molly Merrill, Associate Editor

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TORONTO – Breast imaging reports generated using an automatic speech recognition system are nearly six times more likely to contain major errors than those generated with conventional dictation transcription, a new study finds.

The study reviewed 615 reports of complex cases discussed on multidisciplinary team rounds: 308 reports generated with automatic speech recognition (where the radiologist dictates the report and software immediately transcribes the report on a computer screen) and 307 reports generated with conventional dictation transcription (where the radiologist dictates the report and a team transcribes and reviews the report).

[See also: Speech recognition market poised for growth]

"Our study found that at least one major error was found in 23 percent of automatic speech recognition (ASR) reports compared to 4 percent of conventional dictation transcription report," said Anabel Scaranelo, MD, of the University Health Network in Toronto.

Major errors were described as those errors that had an impact on the understanding of the report and errors affecting patient management, such as an incorrect unit of measurement (for example, millimeter instead of centimeter) or a missing or added "no" (for example, malignancy instead of no malignancy).

The error rate was even higher if breast MRI reports were looked at separately, said Scaranelo. The major error rate was 35 percent for ASR reports and 7 percent for conventional reports, she said. "We think this is because MRI reports are more complex, with more description," Scaranelo said.

[See also: Speech recognition cuts time in Belgian hospital]

Native language had no effect on the ASR report error rate, noted Scaranelo. "We thought that there may be a higher error rate for non-native English speakers because the software works with voice recognition, but that didn't happen." The ASR system is fed with several hours of dictation from the radiologists, and it appears to have "learned" from the voice data that was input, she says, adding that it is commonly used in several countries.

"The results of our study emphasize the need for careful editing of reports generated with ASR," said Scaranelo. "They also show a strong need for standardized templates and use of structured reports, especially for breast MRI."

The study is published in the October, 2011 American Journal of Roentgenology.

Related Topics:
  • Anabel Scaranelo
  • Belgian hospital
  • Belgian hospital
  • Canada
  • imaging
  • Speech Recognition
  • speech recognition system
  • Toronto
  • Quality and Safety
  • RIS and PACS

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