4.5 out of 5 stars
(446 Ratings)
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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4.7 out of 5 stars
(42 Ratings)
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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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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Cognivolt
Cognivolt is a comprehensive cloud-based platform designed for clinical documentation and patient record management, catering to physicians, mental health specialists, and various healthcare providers. Utilizing advanced AI technology, its scribe feature seamlessly transforms consultations, dictations, uploaded audio files, typed notes, and even images of handwritten documents into structured, editable records that can be reviewed by clinicians. The platform also offers a range of functionalities, including patient charts, visit histories, appointment scheduling, a dedicated patient portal, and FHIR import/export capabilities. Additionally, it boasts clinical decision support tools that encompass risk assessments, differential diagnoses, rating scales, guideline references, coding recommendations, and checks for allergies and drug interactions, with diagnosis-related suggestions awaiting clinician validation. Clinicians enjoy the convenience of exporting records or employing a browser extension to integrate notes directly into an active browser-based electronic health record system. Designed with solo practitioners and small practices in mind, Cognivolt effectively serves both mental health and general medical fields, ensuring a versatile and efficient solution for healthcare documentation needs. The platform ultimately aims to enhance the workflow of healthcare providers while improving patient care through its robust features.
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