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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Centro's adaptable design enables its implementation throughout hospitals by various healthcare providers, ensuring that each team member enjoys a personalized experience suited to their distinct workflow requirements. It offers a comprehensive perspective of the full patient record in one centralized location, as Centro gathers and organizes information from various networks to establish a thorough and precise account. The modules within Centro are crafted to meet the unique demands of different specialties and locations, seamlessly integrating with EMR systems and other specialized applications. By utilizing Centro for Clinical Documentation Improvement, healthcare facilities can drive enhanced patient outcomes. Join us to discover how Centro can boost efficiency and refine workflows while cultivating a complete and collaborative patient record. We offer advanced electronic documentation and digital voice solutions tailored for multiple sectors. Which industry do you belong to? Additionally, Crescendo solutions are designed to elevate workflows across diverse environments; let us show you how we can refine yours for even better results. The potential for improvement is vast, and embracing these changes can lead to transformative outcomes.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Crescendo Systems

Founded

1990

Country

Canada

Website

www.crescendo.com

Vendor Details

Company Name

OneVoiceData

Founded

1999

Country

United States

Website

www.onevoicedata.com

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

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