A study from the Midwest that tracked the effects of converting from traditional transcription to voice recognition software indicates the automated approach is more accurate. The new approach also contributed to an impressive improvement in report turnaround time compared with manual report preparation.
A study from the Midwest that tracked the effects of converting from traditional transcription to voice recognition software indicates the automated approach is more accurate. The new approach also contributed to an impressive improvement in report turnaround time compared with manual report preparation.
Radiology Consultants of Iowa, a nonacademic radiology group in Cedar Rapids, IA, will generate about 400,000 dictations this year using voice recognition transcription software for two large acute-care hospitals, seven rural hospitals, and an imaging center. John Floyd, a partner in the 24-member group, described his findings Sunday at the 2007 RSNA annual meeting.
More than 97% of RCI's reports are self-edited and signed by radiologists immediately upon dictation, though they have the option to send their dictation to a correctionist at any time, Floyd said.
The study established error rates for 498 reports generated with voice recognition software and compared them with error rates for reports from the same imaging studies transcribed with traditional methods. Twenty-four radiologists each interpreted 20 to 25 studies involving CT, MR, and general radiographic procedures.
Floyd found that automated speech recognition was more accurate than traditional transcription. Nine percent of reports prepared with speech recognition included at least one transcription error, compared with 13% for traditional transcription. The rate for significant errors, requiring the preparation of an addendum, was 0.6% for speech recognition and 2% for traditional transcription, he said.
The accuracy rate for speech recognition at one of the two participating hospitals was confirmed by the facility's independent analysis. Its evaluation of 514 reports in September 2007 produced an overall transcription error rate of 9.7% for both approaches. An addendum was required for 0.6% of the reports.
Radiology report turnaround time improved at all sites. With traditional transcription, RCI finalized from 4% to 8% of its reports in less than 60 minutes in the two years before it adopted voice recognition in January 2007. The rate jumped to 66% during the group's first three months of experience with voice recognition. It then rose to 82% during the second three-month period.
AI Facilitates Nearly 83 Percent Improvement in Turnaround Time for Fracture X-Rays
December 19th 2023In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Can an Emerging PET Radiotracer Enhance Detection of Prostate Cancer Recurrence?
December 14th 2023The use of 68Ga-RM2 PET/MRI demonstrated a 35 percent higher sensitivity rate than MRI alone for the diagnosis of biochemical recurrence of prostate cancer, according to research recently presented at the Radiological Society of North America (RSNA) conference.
RSNA 2020: Addressing Healthcare Disparities and Access to Care
December 4th 2020Rich Heller, M.D., with Radiology Partners, and Lucy Spalluto, M.D., with Vanderbilt University School of Medicine, discuss the highlights of their RSNA 2020 session on health disparities, focusing on the underlying factors and challenges radiologists face to providing greater access to care.
Can AI Improve Detection of Extraprostatic Extension on MRI?
December 4th 2023Utilizing a deep learning-based AI algorithm to differentiate between diagnostic and non-diagnostic quality of prostate MRI facilitated a 10 percent higher specificity rate for diagnosing extraprostatic extension on multiparametric MRI, according to research presented at the recent RSNA conference.
Study: Regular Mammography Screening Reduces Breast Cancer Mortality Risk by More than 70 Percent
November 30th 2023Consistent adherence to the five most recent mammography screenings prior to a breast cancer diagnosis reduced breast cancer death risk by 72 percent in comparison to women who did not have the mammography screening, according to new research findings presented at the annual Radiological Society of North America (RSNA) conference.