Podcast: Voice Recognition Software - One Facility's Perspective

Podcast

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.

 

A recent nonscientific Diagnostic Imaging poll revealed a divided community when it comes to voice recognition software. Half of respondents said they use the tool, and that it speeds turnaround time and provides accurate reports. Twenty-nine percent said that although they use it, they find it hard to use and not as accurate. And 21 percent said they don't use it at all, saying it's cumbersome and doesn't fit into the workflow.

Indeed it depends on the facility and the software, and there are plenty of success stories out there. 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.

 

 

Recent Videos
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
What New Brain MRI Research Reveals About Cannabis Use and Working Memory Tasks
Related Content
© 2025 MJH Life Sciences

All rights reserved.