Deepgram has launched Nova-3 Medical, a breakthrough AI speech-to-text model designed to significantly enhance accuracy in medical transcription. This specialized tool addresses critical challenges in healthcare documentation by combining advanced machine learning with industry-specific customization, setting new benchmarks for error reduction and workflow integration.
Nova-3 Medical achieves a median Word Error Rate (WER) of 3.45% – 63.6% lower than competing models – ensuring precise capture of complex medical terminology. Its Keyword Error Rate (KER) of 6.79% reduces misidentification risks for drug names and conditions by 40.35% compared to alternatives. This performance stems from:
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Specialized training on clinical vocabulary and jargon
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Adaptive noise cancellation for far-field audio environments
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Structured output formatting compatible with EHR systems
The model also offers healthcare developers such as:
- Keyterm Prompting: Prioritize up to 100 facility-specific terms
- Flexible Deployment: On-premises/VPC configurations for HIPAA compliance
- Real-Time Processing: 5-40x faster transcription than conventional solutions
| Nova-3 Medical | Industry Average | |
|---|---|---|
| Cost per Audio Minute | $0.0077 | $0.016+ |
| Transcription Speed | 800 words/sec | 20-160 words/sec |
| Security Certifications | HIPAA, GDPR | Varies by provider |
