Nuance's Voice Recognition Software Deployed at Providence Health & Services' Hospitals, Clinics

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Nuance Communications, Inc. announced today that Providence Health & Services is deploying Dragon Medical 360 Network Edition across its healthcare enterprise, making medical voice recognition available at 27 hospitals and 250 clinics for approximately 8,000 clinicians. According to a news release, Providence Health & Services is ranked by Thomson Reuters as among the top 20 percent of best-performing health systems in the country. The organization-wide use of Dragon Medical will help Providence roll out the Epic electronic health record (EHR) system by letting clinical staff document and navigate the EHR simply by speaking, saving time and allowing them to be more efficient and effective. Over the next year, Dragon Medical will be integrated with Epic and once fully deployed, clinicians will be able to use the just by using their voice, leading to faster EHR system adoption and improved physician satisfaction with EHR use, the press release claims. "Dragon Medical builds upon our current Nuance-driven background speech workflow through eScription and will give physicians more documentation options," said Laureen O'Brien, chief information officer, Providence Health & Services.


Startup bets on AI voice assistant to prevent physician burnout - MedCity News

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Rx.Health is adding a suite of tools to prevent physician burnout. How do you keep physicians from being overwhelmed by a mountain of paperwork? Give them a voice assistant, similar to Amazon's Alexa or Apple's Siri. That's the thinking behind Suki, a Redwood City-based startup that recently struck a partnership with Mount Sinai Health System spinoff Rx.Health. Rx.Health curates digital tools for doctors, allowing them to prescribe digital therapeutics and care plans from electronic health record systems.


Saykara Launches First Fully Ambient AI Healthcare Voice Assistant

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Saykara today announced the release of Kara 2.0, an AI-powered healthcare assistant that further simplifies the documentation process for physicians. Now featuring Ambient Mode, Kara 2.0 is a breakthrough AI-powered voice application for healthcare, allowing physicians and patients to interact as they normally do, all while Saykara listens, transcribes to text, parses text into structured data, and intelligently completes each form in a patient's electronic health record (EHR or chart). Saykara then automatically generates a clinic note including patient history, physical, assessment, plan, orders and referrals. With the release of Ambient Mode, Saykara is the only virtual healthcare assistant that can be used passively'in the room' during physician-patient appointments with no voice commands. Ambient Mode builds on Saykara's versatility and agnosticity, allowing it to better serve up to 18 disparate healthcare specialties, including primary care, pediatrics, internal medicine, orthopedics, urology and more.


Amazon's machine learning transcription service aims to ease docs' tasks

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Amazon Web Services is rolling out an electronic health record-supported machine learning transcription service that uses speech recognition applications to ease physician documentation. The product is Amazon Transcribe Medical, which automatically translates audio streams into medical speech, enabling affordable, secure and accurate note taking for clinical staff, researchers and other stakeholders. Cerner, for example is using the product in an initial development of a digital voice scribe that automatically listens to clinician and patient interactions and captures the conversation in text form. The service enables developers to add medical speech-to-text capability to their applications. Amazon is positioning Transcribe Medical as a tool to ease physician and researcher burnout.


AMAZON LAUNCHES TRANSCRIBE MEDICAL

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Amazon ( NASDAQ: AMZN) has introduced a new healthcare application which interfaces with electronic health records and significantly improves patient and clinician interaction. Amazon Transcribe Medical digitally converts speech ( patient and medical professional conversations) via a microphone feed to text for inclusion within clinical documentation and other healthcare data records. Amazon Transcribe Medical can accurately process spoken dialogue plus medical and pharmacological descriptions and clinical terminology aligned with medical professional and patient discussions. The application can populate electronic health records ( EHR) that is also referred to as electronic medical record ( EMR) which healthcare professionals and their provider organizations use to record and manage patient data. In healthcare and an array of other industries, advances in voice recognition and transcription technology are widely welcomed and highly anticipated.