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Description
Adaptable Documentation with Transcript Advantage is ideal for Health Systems and MTSOs alike. It offers dictation capabilities through smartphones, desktop computers, and landlines, allowing for customizable workflows tailored to each department and facility. Users can benefit from speech-to-text flexibility linked to individual user IDs, all driven by nVoq technology. This comprehensive platform presents various options for generating text, whether through in-house teams or partner MTSOs. With the smartphone dictation feature, notes can be completed 30% quicker, and users can instantly view their text on the app. It includes specialized vocabularies for both clinical and behavioral health fields, enabling documentation on the go or at a later time. This solution is particularly advantageous for traveling and deskbound professionals in behavioral health, primary care, and social work. On the desktop, dictation with front-end speech allows for accurate text to appear on screen within seconds. Covering all medical specialties and behavioral health vocabularies, the automated workflow streamlines editing by either the user or collaborators. The system reduces the number of clicks needed for documentation, resulting in quicker and more efficient note-taking for all users. Ultimately, this innovative approach enhances productivity and accuracy in the healthcare documentation process.
Description
The VoxSigma software suite is available as a web service through a REST API over HTTPS, ensuring that customers can consistently access our most up-to-date systems and benefit promptly from ongoing enhancements while also utilizing additional features provided by the online platform. Our speech-to-text service operates continuously throughout the year, featuring failover servers and ensuring geographic redundancy for reliability. The system includes automatic on-the-fly adaptation, allowing users to submit texts that correspond to the audio content being processed, which can be seen as a method of topic or domain adaptation. These supplementary texts enhance the lexical coverage of the speech-to-text system and help tailor the language model to the specific context of the audio document, ultimately aimed at boosting the accuracy of transcriptions. Furthermore, this adaptability not only improves performance but also facilitates a more personalized user experience, aligning the service more closely with individual client needs.
API Access
Has API
API Access
Has API
Integrations
ARIA Clinical Solutions
CSC
Care Director
Empower Inpatient+Ambulatory
EpicCare EMR
Evident Thrive EHR
Harris Affinity
MEDHOST EDIS
MEDITECH Expanse
NextGen Healthcare EHR
Integrations
ARIA Clinical Solutions
CSC
Care Director
Empower Inpatient+Ambulatory
EpicCare EMR
Evident Thrive EHR
Harris Affinity
MEDHOST EDIS
MEDITECH Expanse
NextGen Healthcare EHR
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arrendale Associates
Founded
1989
Country
United States
Website
aaita.com
Vendor Details
Company Name
Vocapia
Country
France
Website
www.vocapia.com/speech-to-text-services.html
Product Features
Medical Transcription
Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition
Product Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition