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Description
Utilizing a blend of advanced data mining techniques and natural language processing, CAT can efficiently pull text and specific portions from any healthcare document, identifying key components like medication names, medical procedures, diagnoses, and various disorders. With the information gathered on procedures and diagnoses, CAT is also able to formulate a Diagnosis Related Group (DRG) or an Emergency Medical Service (EMS) level. Additionally, CAT assesses the document against various PQRS measures to ensure compliance. This technology extracts text from medical documents and swiftly transforms it into a format suitable for billing, achieving a remarkable level of accuracy. By streamlining this process, CAT enhances operational efficiencies and generates cost savings for hospitals, medical practices, and other healthcare providers that need coding services. The time spent on billing and coding sees a significant reduction, while the precision of claim submissions is greatly enhanced through this automated approach, which not only speeds up the claim processing time but also improves the overall revenue cycle for healthcare organizations. As a result, healthcare facilities experience a smoother financial operation and can focus more on patient care.
Description
Windows Speech Recognition (WSR) performs effectively in applications that are compatible with it, such as MS Word, Outlook, and PowerPoint, allowing for seamless dictation where text is inserted directly into documents and commands like "Delete hedgehog" target specific text. However, in applications that are not optimized for WSR, including MS Excel, Gmail, and various programming environments, dictation struggles, as the spoken words do not integrate into the document text, and commands lack the capability to refer to existing document content. Vocola addresses these limitations by enabling direct dictation in WSR-unfriendly applications and facilitating the correction and alteration of the most recently spoken phrase. Both Vocola and WSR utilize the same speech profile, meaning that any enhancements from training, corrections, or adjustments to the speech dictionary will improve dictation capabilities in both systems equally. Unfortunately, on the Vista operating system, dictation in non-friendly applications is particularly problematic, as every spoken command triggers the correction panel, rendering the feature nearly ineffective. Overall, while WSR is beneficial for compatible applications, the experience can be significantly hindered when trying to use it in others.
API Access
Has API
API Access
Has API
Integrations
Gmail
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
Integrations
Gmail
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
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
OneVoiceData
Founded
1999
Country
United States
Website
www.onevoicedata.com
Vendor Details
Company Name
Vocola 3
Founded
2002
Website
vocola.net/v3/Dictation.asp
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
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