Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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XpertCoding
XpertCoding by XpertDox is an AI medical coding software that utilizes advanced artificial intelligence, machine learning, and natural language processing (NLP) to automatically code medical claims within 24 hours. This software streamlines and enhances the coding process, ensuring faster and more accurate claim submissions and maximizing financial returns for healthcare organizations.
Features include a comprehensive coding audit trail, minimal need for human supervision, a clinical documentation improvement module, seamless integration with EHR systems, a business intelligence platform, a flexible cost structure, significant reduction in claim denials and coding costs, and risk-free implementation with no initial fee and a free first month.
XpertCoding's automated coding software ensures timely payments for healthcare providers & organizations, accelerating the revenue cycle and allowing them to focus on patient care. Choose XpertCoding for reliable, efficient, and precise medical coding tailored to your practice.
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DeepScribe
DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking.
Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system.
Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit.
With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.
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ScribeHealth
ScribeHealth utilizes advanced AI technology to serve as a medical scribe that actively listens to discussions between patients and clinicians, transcribing and coding clinical notes in real time while requiring minimal input from healthcare professionals. This innovative solution boasts a high level of accuracy, adapts through user feedback, and allows most doctors to spend just a few minutes making adjustments instead of composing notes entirely from the beginning. It integrates effortlessly with various existing EHR/EMR systems such as Epic, Cerner, AllScripts, and Jane, through secure APIs, and complies with HL7/FHIR standards, ensuring that note syncing fits seamlessly into the daily routines of clinicians. With robust security measures including bank-level encryption, automatic deletion of audio recordings post-transcription, and strict adherence to HIPAA regulations, patient privacy is meticulously protected. Additionally, ScribeHealth provides valuable features like session analytics, speaker identification, and the ability to understand context for better extraction of symptoms and assessments, enhancing the overall efficiency of clinical documentation. This technology not only streamlines the documentation process but also empowers healthcare providers to focus more on patient care rather than administrative tasks.
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