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Description
Claims Signal™ represents a revolutionary open claims quality solution developed by Aon and Athenium Analytics, designed to help insurers detect high-risk claims at an earlier stage. By improving the experience for policyholders, this platform can lead to a significant enhancement in claims indemnity and expenses, estimated between 4% to 6%. In today's fast-paced insurance environment, claims teams face mounting pressure to elevate customer satisfaction, streamline operations, and minimize financial leakage. While routine quality audits can effectively highlight root causes and deviations from optimal practices, the feedback from these audits may not be accessible for weeks or even months post-claim closure. Imagine having the ability to continuously monitor open claims and resolve quality concerns before they negatively impact results. The Claims Signal platform leverages advanced artificial intelligence to scrutinize open claims, identify potential problems, and send immediate alerts, empowering front-line managers to take action before a claim reaches conclusion. With the integration of predictive analytics and timely alerts, insurers can achieve a reduction in claims leakage of up to 4%, ultimately transforming the claims management process. This proactive approach not only enhances operational efficiency but also fosters a culture of continuous improvement within claims teams.
Description
Ensure a steady stream of revenue by utilizing a robust platform that accelerates reimbursements through eligibility verification, tracking claims status, conducting audits and appeals, and managing remittances for both government and commercial claims, all integrated into one cohesive system. Take advantage of a sophisticated rules engine that promptly cleanses claims in accordance with the latest CMS and commercial payer regulations, enabling you to rectify any inaccuracies prior to submission. During the claim upload process, confirm eligibility across all payers and identify any flagged issues, allowing for necessary edits before the claims are sent. Reduce the days in accounts receivable by implementing automated workflows for handling audit responses, submitting appeals, and tracking administrative dispute resolutions. Tailor staff workflow assignments based on the specific claim type and required actions. Additionally, automate the submission of secondary claims to prevent timely filing write-offs. Ultimately, enhance your claims revenue through automated workflows that facilitate quicker and more successful audits and appeals, ensuring your organization remains financially healthy. Furthermore, this comprehensive system can adapt to your evolving needs, providing long-term benefits as your operations grow.
API Access
Has API
API Access
Has API
Integrations
Inovalon Provider Cloud
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
Athenium Analytics
Country
United States
Website
www.athenium.com/products/claims-signal/
Vendor Details
Company Name
Inovalon
Founded
1998
Country
United States
Website
www.inovalon.com/products/provider-cloud/revenue-cycle-management/all-payer-revenue-cycle-management/
Product Features
Insurance Claims Management
CRM
Claims tracking
Customer portal
Document management
EDI data exchange integrations
Electronic claims
Fraud management
Reporting
Product Features
Insurance Claims Management
CRM
Claims tracking
Customer portal
Document management
EDI data exchange integrations
Electronic claims
Fraud management
Reporting