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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Combine and liberate your disorganized health information through an interactive AI and NLP solution that provides valuable health insights for various stakeholders. This innovative technology serves Providers by hastening the data abstraction process and ensuring the clinical information validation found within notes, thus minimizing the time and costs associated with identifying care gaps, assessing the quality of care through dashboards, and producing registry reports. For Payers, it facilitates the integration and analysis of claims alongside clinical notes, enhancing the management of high-risk and high-cost member populations. In the realm of Life Sciences, this solution enables swift patient matching to clinical trials using databases alongside clinical note data, maximizing the potential of real-world clinical evidence. Ember offers a comprehensive approach that merges NLP with predictive analytics, streamlining healthcare analytics for unstructured data to boost quality, efficiency, and outcomes in the healthcare system. As a result, stakeholders can make informed decisions that lead to improved patient care and resource allocation.

Description

Verana Health operates as a platform for real-world data that converts both structured and unstructured information from electronic health records into curated, de-identified, disease-focused data modules through its clinician-informed and AI-enhanced VeraQ population health data engine. By aggregating data from key collaborations with prominent medical registries, including the American Academies of Ophthalmology, Neurology, and Urological Association, the platform integrates insights from over 20,000 clinicians and approximately 90 million patient records, thereby supplying high-quality datasets in near real-time for the purposes of generating real-world evidence, identifying clinical trial sites and subjects, reporting clinician quality, and managing medical registries. Users can access this wealth of information through cloud services like AWS Data Exchange and Amazon Redshift, which provide self-service API access, a user-friendly dashboard, and tools for customizable cohort discovery. Furthermore, the system employs advanced AI and machine learning algorithms along with comprehensive data quality assessments to ensure the reliability and accuracy of the information provided. This innovative approach not only facilitates efficient data utilization but also enhances the overall quality of healthcare research and practice.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Data Exchange
Amazon Redshift
Chromosis CRM
CodeKeep
Dragit
nTireLegal

Integrations

AWS Data Exchange
Amazon Redshift
Chromosis CRM
CodeKeep
Dragit
nTireLegal

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

MetiStream

Country

United States

Website

www.metistream.com

Vendor Details

Company Name

Verana Health

Country

United States

Website

veranahealth.com

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Product Features

Population Health Management (PHM)

Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking

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