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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Valant Behavioral Health EHR
Focus your efforts on providing exceptional, data-driven care with Valant, the all-in-one EHR and practice management software designed exclusively for behavioral health practices of all sizes. Valant is built to help you spend less time on administrative tasks and more time providing quality care to individuals and groups.
Speed your process when you:
- Reduce documentation stress with a system that generates clinical narratives - practically completing your notes for you.
- Schedule 80+ built-in, reportable outcome measures to automatically send to patients before appointments through the MYIO Patient Portal.
- Have the system generate a coded charge when you record appointments.
- Automate your patient onboarding process and have intake packets waiting for patients to sign within their portal.
- Receive requests for services directly in your EHR, manage new patient inquiries, and get a data-driven match score with new patients.
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Doc-U-Scribe
Saince’s dictation and transcription solution offers significant advantages to physician practices, Integrated Delivery Networks (IDNs) in hospitals, and Medical Transcription Service Organizations (MTSOs) of varying sizes. Our technology adheres to HIPAA regulations and features versatile dictation methods, cutting-edge speech recognition capabilities, efficient workflow management, integrated productivity tools, and automated document distribution. We have seamlessly connected our platform with all major Electronic Health Record (EHR) systems, such as Epic, Cerner, MediTech, CPSI, AllScripts, NextGen, and eCW, among others. Uniquely, our platform is the only one that offers front-end speech recognition directly within the transcription interface. Physicians seeking to utilize front-end speech recognition for their clinical documentation have immediate access to this feature. Moreover, should they decide to switch to traditional back-end transcription while drafting a report, they can easily do so with just a straightforward voice command, enhancing their workflow flexibility. This adaptability not only streamlines the documentation process but also empowers healthcare providers to choose the method that best suits their needs at any point in their reporting.
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Petal Scheduling & Clinical Capacity
Petal's platform, a cloud-based scheduling solution for healthcare professionals, is designed for doctors and healthcare professionals in hospitals, clinics, and acute-care facilities. Physicians can manage and control their schedules and improve team communication through shift swaps, absence requests, and shift visibility.
Petal's Clinical Capacity Management is combined with it to manage the modern hospital's medical staff scheduling, on-call physician management, and physician management. The Clinical Capacity Management console consolidates all hospital medical services in one dashboard. This solution gives real-time insights into care coverage and provides analytical reports that facilitate resource management. It improves the performance and accessibility of healthcare facilities. These SaaS solutions are customizable to fit different departments, clinics, hospitals, and even a whole network.
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