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Description
The conventional approach to customized data review is struggling to match the ever-increasing volume and velocity of information. Cornerstone AI has introduced a self-evolving AI platform designed to autonomously generate more intelligent data rules, streamlining the cleaning and organization of your datasets and facilitating quicker access to enhanced analytical data. This is particularly beneficial for clinical data, which often demands significant time and resources for preparation. Our platform accommodates a variety of data types, including clinical trials, EHR, registries, digital health, claims, imagery, and sensor data. Each table and data point is meticulously analyzed to deduce structure and validity, enabling us to arrange tables for effective analysis while rectifying and eliminating data inaccuracies. Users receive an immediate data quality assessment that identifies the most problematic features, along with options for automated or manual error correction, API connectivity for seamless integration into your data pipeline, and a comprehensive audit trail of all activities. Importantly, we prioritize your privacy; we do not store, aggregate, or resell your information, ensuring that your data remains exclusively yours and is solely utilized for your benefit. Additionally, our commitment to data integrity fosters a more efficient workflow, allowing teams to focus on deriving insights rather than getting bogged down by data preparation.
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
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
Cornerstone AI
Country
United States
Website
www.cornerstone.ai/
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)
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
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