Introducing Nova-3 Medical: The Future of AI-Powered Medical Transcription

Deepgram has launched Nova-3 Medical, a healthcare-focused speech-to-text model for developers building clinical voice AI applications, emphasizing accuracy, real-time performance, customization, and HIPAA-compliant security. Designed to handle noisy settings such as hospitals and telemedicine environments, it filters ambient noise while recognizing medications, diagnoses, procedures, and other specialized terminology. Its Keyterm Prompting feature allows users to add up to 100 custom terms without retraining, while deployment options include managed cloud, on-premises, and virtual private cloud environments. Deepgram reports that the model achieved a 3.44% median word error rate, a 6.79% keyword error rate, and a 93.99% keyword recall rate in its medical-audio benchmarks, outperforming named competing and previous-generation models according to its evaluation. The company positions the model for uses including clinical documentation, scheduling, prescription-related commands, telemedicine, and EHR integration, with pre-recorded transcription pricing beginning at $0.0043 per minute.

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