Voice recognition reduces report turnaround time

Article

Even partial use of a voice recognition system can significantly speed up radiologist report generation, enabling more clinicians to view images with the corresponding reports, according to a study presented at the 2005 SCAR meeting.

Even partial use of a voice recognition system can significantly speed up radiologist report generation, enabling more clinicians to view images with the corresponding reports, according to a study presented at the 2005 SCAR meeting.

Twice as many clinicians view images with reports now than was the case prior to installation of voice recognition, according to researchers at Fort Collins Radiologic Associates in Colorado.

Physician use of PACS improved with the addition of partial voice recognition for report generation and with the use of a standardized report form for abdominal/ pelvic CT. The study also reported that the majority of clinicians prefer a structured report style, which they find easier to read, with relevant information easier to find.

Despite the decrease in report turnaround time, investigators found that only half of clinicians always viewed studies with interpretations. Report turnaround time generally remained too slow to keep pace with image availability and clinician demands.

Recent Videos
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Related Content
© 2025 MJH Life Sciences

All rights reserved.