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Data Center News > Blog > AI > AI speech model cuts healthcare transcription errors
AI

AI speech model cuts healthcare transcription errors

Last updated: March 4, 2025 3:34 pm
Published March 4, 2025
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Red heart made out of binary digits illustrating the launch of Nova-3 Medical by Deepgram, an AI speech-to-text (STT) model tailored for transcription in the demanding environment of the healthcare sector.
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Deepgram has unveiled Nova-3 Medical, an AI speech-to-text (STT) mannequin tailor-made for transcription within the demanding setting of healthcare.

Designed to combine seamlessly with present scientific workflows, Nova-3 Medical goals to handle the rising want for correct and environment friendly transcription within the UK’s public NHS and personal healthcare panorama.

As digital well being data (EHRs), telemedicine, and digital well being platforms develop into more and more prevalent, the demand for dependable AI-powered transcription has by no means been larger. Nevertheless, conventional speech-to-text fashions typically wrestle with the advanced and specialised vocabulary utilized in scientific settings, resulting in errors and “hallucinations” that may compromise affected person care.

Deepgram’s Nova-3 Medical is engineered to beat these challenges. The mannequin leverages superior machine studying and specialised medical vocabulary coaching to precisely seize medical phrases, acronyms, and scientific jargon—even in difficult audio situations. That is significantly essential in environments the place healthcare professionals might transfer away from recording units.

“Nova‑3 Medical represents a big leap ahead in our dedication to remodeling scientific documentation by way of AI,” stated Scott Stephenson, CEO of Deepgram. “By addressing the nuances of scientific language and providing unprecedented customisation, we’re empowering builders to construct merchandise that enhance affected person care and operational effectivity.”

One of many key options of the mannequin is its skill to ship structured transcriptions that combine seamlessly with scientific workflows and EHR programs, making certain important affected person knowledge is precisely organised and readily accessible. The mannequin additionally presents versatile, self-service customisation, together with Keyterm Prompting for as much as 100 key phrases, permitting builders to tailor the answer to the distinctive wants of assorted medical specialties.

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Versatile deployment choices – together with on-premises and Digital Non-public Cloud (VPC) configurations – guarantee enterprise-grade safety and HIPAA compliance, which is essential for assembly UK knowledge safety rules.

“Speech-to-text for enterprise use instances isn’t trivial, and there’s a basic distinction between voice AI platforms designed for enterprise use instances vs leisure use instances,” stated Kevin Fredrick, Managing Companion at OneReach.ai. “Deepgram’s Nova-3 mannequin and Nova-3-Medical mannequin, are main voice AI choices, together with TTS, by way of the accuracy, latency, effectivity, and scalability required for enterprise use instances.”

Benchmarking Nova-3 Medical: Accuracy, pace, and effectivity

Deepgram has performed benchmarking to reveal the efficiency of Nova-3 Medical. The mannequin claims to ship industry-leading transcription accuracy, optimising each total phrase recognition and demanding medical time period accuracy.

  • Phrase Error Charge (WER): With a median WER of three.45%, Nova-3 Medical outperforms opponents, attaining a 63.6% discount in errors in comparison with the following greatest competitor. This enhanced precision minimises guide corrections and streamlines workflows.
  • Key phrase Error Charge (KER): Crucially, Nova-3 Medical achieves a KER of 6.79%, marking a 40.35% discount in errors in comparison with the following greatest competitor. This ensures that crucial medical phrases – reminiscent of drug names and situations – are precisely transcribed, lowering the danger of miscommunication and affected person issues of safety.

Along with accuracy, Nova-3 Medical excels in real-time purposes. The mannequin transcribes speech 5-40x sooner than many different speech recognition distributors, making it splendid for telemedicine and digital well being platforms. Its scalable structure ensures excessive efficiency whilst transcription volumes enhance.

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Moreover, Nova-3 Medical is designed to be cost-effective. Beginning at $0.0077 per minute of streaming audio – which Deepgram claims is greater than twice as inexpensive as main cloud suppliers – it permits healthcare tech firms to reinvest in innovation and speed up product growth.

Deepgram’s Nova-3 Medical goals to empower developers to construct transformative medical transcription purposes, driving distinctive outcomes throughout healthcare.

(Photograph by Alexander Sinn)

See additionally: Autoscience Carl: The primary AI scientist writing peer-reviewed papers

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TAGGED: Cuts, errors, Healthcare, Model, Speech, transcription
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