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 Launches EHR-Integrated, Machine Learning-Powered Transcription Service

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As part of re:Invent, today AWS announced Amazon Transcribe Medical, a new HIPAA-eligible, machine learning automatic speech recognition (ASR) service that allows developers to add medical speech-to-text capabilities to their applications. Transcribe Medical provides accurate and affordable medical transcription, enabling healthcare providers, IT vendors, insurers, and pharmaceutical companies to build services that help physicians, nurses, researchers, and claims agents improve the efficiency of medical note-taking. Today, clinicians can spend up to an average of six additional hours per day, on top of existing medical tasks, just writing notes for electronic health record (EHR) data entry. Not only is the processing time consuming and exhausting for physicians, but it is also a leading factor of workplace burnout and stress that distracts physicians from engaging patients attentively, resulting in poorer patient care and rushed visits. While medical scribes have been employed to assist with manual note-taking, the solution is expensive, difficult to scale across thousands of medical facilities, and some patients find the presence of a scribe uncomfortable, leading to less candid discussions about symptoms.


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.