Nova-2 Medical Model: The #1 Choice for Medical Transcription
Blog post from Deepgram
Deepgram has introduced Nova-2 Medical, a healthcare-focused speech-to-text model designed to improve transcription for clinical documentation, patient sessions, intakes, EHR workflows, and SOAP notes. Building on Nova-2’s domain-specific transcription models, the medical version recognizes symptoms, diagnoses, medications, treatments, and clinical terminology, with the company reporting a 16% relative improvement in medical-term word recall over its previous model, an 11% relative improvement in batch transcription word error rate, and stronger benchmarked performance than competing alternatives. Deepgram also emphasizes real-time capability, transcription speeds reportedly 5 to 40 times faster than comparable vendors, and cost efficiency. The model supports HIPAA-conscious deployments through managed, virtual private cloud, or on-premises options, while custom training can improve recognition of uncommon terms such as new drug names. It is available through Deepgram’s API using the nova-2-medical model parameter.
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