Objective: The purpose of this study was to compare the error rates in breast imaging reports generated with automated speech recognition (ASR) technology as opposed to conventional dictation transcription.
Materials and methods: Breast imaging reports reviewed from January 2009 to April 2010 during multidisciplinary tumor board meetings at two hospitals were scrutinized for minor and major errors.
Results: Of 615 reports obtained, 308 were generated with ASR and 307 with conventional dictation transcription. At least one major error was found in 23% of ASR reports, as opposed to 4% of conventional dictation transcription reports (p < 0.01). Major errors were more common in breast MRI reports (35% of ASR and 7% of conventional reports), the lowest error rates occurring in reports of interventional procedures (13% of ASR and 4% of conventional reports) and mammography reports (15% of ASR and no conventional reports) (p < 0.01). The error rates did not differ substantially between reports generated by staff radiologists and trainees or between reports generated by speakers who spoke English as their first language and those whose native language was not English. After adjustment for academic rank, native language, and imaging modality, reports generated with ASR were 8 times as likely as conventional dictation transcription reports to contain major errors (p < 0.01).
Conclusion: Reports generated with ASR are associated with higher error rates than reports generated with conventional dictation transcription. The imaging modality used is a predictor of the occurrence of reporting errors. Conversely, native language and academic rank of the speaker do not have a significant influence on error rate.