Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The successful evaluation of drug treatments and their protocols hinges on the effective gathering and sharing of thorough, timely, and high-quality data. To support this need, the Omda Compos suite of solutions is specifically crafted to enhance the management and effortless exchange of medical information across the clinical landscape. This innovative platform guarantees that users and applications involved in clinical trials and registries have easy access to vital data, fostering improved collaboration and effective data usage. At the heart of the Compos platform lies Omda Compos QR, which features a sophisticated database structure, data warehousing functions, user management, and other critical elements that uphold data integrity throughout the entire process, from collection to analysis. Maintaining streamlined user access and efficient logging practices is crucial for any clinical registry or trial. Within Omda Compos QR, user roles are defined to regulate access to designated sites, thereby enhancing security and control over the data management process. By prioritizing these features, the platform not only supports researchers but also improves the overall quality of clinical data handling.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Emi
No
Endorsed
No
assessmentQ
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Cornerstone AI
Country
United States
Website
www.cornerstone.ai/
Vendor Details
Company Name
Omda
Founded
1999
Country
Norway
Website
omda.com/solutions/health-analytics/omda-compos/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No