South KoreaHealthcare and life sciences2021 – ongoingPusan National University Hospital
DeepASR transcription of radiologists' dictated findings
Pusan National University Hospital's radiologists used DeepASR to transcribe dictated findings
Problem
Radiology reporting required medical findings to be entered as documents. Long medical terms and mixed Korean-English terminology made accurate transcription demanding.
Approach
The hospital adopted VUNO Med-DeepASR in its radiology department in 2021. The medical speech-recognition system converted dictated findings into text in real time. A hospital radiologist said its recognition of complex terminology helped improve reporting efficiency.
Results
No published figures
Takeaway
The hospital reported a practical benefit through a clinician's account. VUNO's numerical accuracy and speed claims came from product-level internal testing, without a hospital-specific measurement.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Conversational and voice AI
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
VUNO announced deployment at Pusan National University Hospital and quoted a radiologist describing improved reporting efficiency. Its numerical performance claims concerned internal product testing rather than measured results at this hospital.
Full details are in the original sources.