Deepgram Equips Healthcare Technology Innovators with a Cutting-Edge Enterprise Runtime Platform and Real-Time Medical Transcription API to Build Advanced Voice AI Applications that Enhance Care Delivery
Deepgram, the leading voice AI platform for enterprise use cases, announced the launch of Nova‑3 Medical, its next‑generation AI-powered speech‑to‑text (STT) model specifically engineered for the healthcare industry. Designed to meet the rigorous demands of clinical environments, Nova‑3 Medical enables developers to build highly accurate, customizable, and secure voice AI products and solutions tailored for healthcare settings. It seamlessly integrates with Deepgram’s enterprise runtime platform—including advanced text-to-speech (TTS) and speech-to-speech (STS) capabilities—providing a comprehensive suite of AI-driven tools that deliver enterprise-grade performance, adaptability, and cost efficiency. From streamlining clinical documentation to revolutionizing therapeutic scribing, Deepgram powers transformative medical transcription applications for industry leaders, driving exceptional outcomes across the healthcare spectrum.
Meeting the Growing Demand for AI-Powered Healthcare Transcription
As healthcare rapidly digitizes—with the widespread adoption of electronic health records, telemedicine, and digital health platforms—the demand for AI-powered transcription has never been greater. Traditional off-the-shelf speech-to-text models often struggle with the complexities of clinical terminology, leading to transcription errors and “hallucinations” that can compromise patient care. With the medical transcription market projected to grow from USD 85.3 billion in 2023 to USD 190.2 billion by 2032, developers building voice-AI applications for healthcare need infrastructure that not only delivers exceptional accuracy and speed but also provides the flexibility to meet diverse regulatory and operational requirements.
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Built to meet these demands, Nova-3 Medical leverages advanced machine learning and specialized medical vocabulary training to set a new standard in healthcare transcription. Engineered for real-world clinical environments, the model accurately captures specialized medical terms, acronyms, and clinical jargon—even in challenging far-field audio conditions where providers step away from recording devices such as desktops and tablets. Moreover, it delivers structured transcriptions that seamlessly integrate with clinical workflows and EHR systems, ensuring vital patient data is accurately organized and readily accessible. Its flexible, self‑service customization—featuring Keyterm Prompting for up to 100 key terms—allows developers to tailor the solution to the unique needs of various medical specialties while versatile deployment options, including on‑premises and VPC configurations, ensure enterprise‑grade security and HIPAA compliance.
“Nova‑3 Medical represents a significant leap forward in our commitment to transforming clinical documentation through AI,” said Scott Stephenson, CEO of Deepgram. “By addressing the nuances of clinical language and offering unprecedented customization, we are empowering developers to build products that improve patient care and operational efficiency.”
“Speech-to-text for enterprise use cases is not trivial, and there is a fundamental difference between voice AI platforms designed for Enterprise use cases vs. entertainment use cases,” said Kevin Fredrick, Managing Partner at OneReach.ai. “Deepgram’s Nova-3 model and Nova-3-Medical model, are leading voice AI offerings, including TTS, in terms of the accuracy, latency, efficiency, and scalability required for enterprise use cases.”
Source: Businesswire