Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our data prediction system is powered by a sophisticated artificial intelligence framework that utilizes exclusive algorithms and machine learning techniques to detect and forecast potential risks associated with significant losses, extensive litigation, and other financial burdens. By harnessing machine learning alongside statistical modeling approaches, we analyze client data and complement it with external sources to enable the AI to accurately assess risk. Our comprehensive product offerings can function independently or be seamlessly integrated into existing business intelligence platforms like Board, Tableau, or Microsoft BI. Whether it's managing worker’s compensation claims or processing general liability issues, our solutions can align with your insurance provider, third-party administrator, or your internal systems if you are self-insured. By utilizing our services, you can mitigate your risk through precise and thorough defense documentation, diminished settlement expenses, expedited resolutions, and proactive measures aimed at risk reduction. We also offer tools for predicting costs associated with general liability or worker’s compensation claims, facilitating swift settlements and providing more precise premium calculations, ultimately enhancing your operational efficiency in risk management. Our commitment is to deliver innovative solutions that not only meet but exceed your risk management needs.
Description
eOxegen is an innovative claims management system powered by artificial intelligence, aimed at improving the efficiency of health insurance operations. By automating the claims process through a Straight Through Process (STP), it minimizes the need for manual intervention, resulting in quicker claim settlements and higher accuracy. The system features sophisticated fraud detection capabilities, leveraging AI algorithms to detect and flag potentially fraudulent activities at an early stage. Furthermore, eOxegen includes functionalities such as provider contracting and empanelment, management of pre-authorizations and adjudication, as well as comprehensive reporting through business intelligence analytics dashboards. Its AI-driven workflow automation guarantees consistent task execution, reduces repetitive activities, and boosts overall productivity. In integrating these diverse functionalities, eOxegen enables insurance providers and third-party administrators to refine their claims management processes while also lowering operational costs. Ultimately, the platform serves as a transformative tool for the health insurance industry, fostering a more efficient and reliable claims handling environment.
API Access
Has API
No
API Access
Has API
No
Integrations
Board
No
Microsoft Power BI
No
Tableau
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
Yes
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
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Mobotory
Country
United States
Website
mobotory.com
Vendor Details
Company Name
eOxegen
Founded
2002
Country
India
Website
eoxegen.com
Product Features
Insurance Claims Management
CRM
No
Claims tracking
No
Customer portal
No
Document management
No
EDI data exchange integrations
No
Electronic claims
No
Fraud management
No
Reporting
No
Product Features
Insurance Claims Management
CRM
No
Claims tracking
No
Customer portal
No
Document management
No
EDI data exchange integrations
No
Electronic claims
No
Fraud management
No
Reporting
No