Nuance strikes deal to acquire Dictaphone for $357 million

Article

Voice recognition software developer Nuance has cut a deal to acquire Dictaphone. Nuance executives say they expect the all-cash $357 million agreement to accelerate the adoption of voice recognition as a replacement for manual transcription.

Voice recognition software developer Nuance has cut a deal to acquire Dictaphone. Nuance executives say they expect the all-cash $357 million agreement to accelerate the adoption of voice recognition as a replacement for manual transcription.

"It is our goal by the end of this decade to replace most manual transcription in healthcare with speech-enabled automated solutions, giving care providers and medical transcription services the ability to reduce manual transcription costs by over $5 billion a year," said Paul Ricci, chairman and CEO of Nuance.

U.S. medical providers spend about $10 billion annually to transcribe spoken reports, according to Ricci.

The deal to merge Dictaphone and Nuance is expected to close March 31, pending regulatory approvals and due diligence. If it does, Dictaphone will operate as a wholly owned subsidiary of Nuance.

Editor's Note: What the merger will mean for Nuance, Dictaphone, and the medical community at large will be featured in the Feb. 20 issue of SCAN.

Recent Videos
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
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
Related Content
© 2025 MJH Life Sciences

All rights reserved.