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Average Ratings 0 Ratings
Description
ARNIE serves as an efficient motor claims management platform that simplifies the claims process by seamlessly connecting the individuals and systems involved in the background, making the entire handling procedure more straightforward.
Claims handlers leverage ARNIE to access crucial information precisely when they need it, while assessors benefit from ARNIE's mobile capabilities to perform and finalize vehicle evaluations effortlessly on the go. Additionally, repairers utilize ARNIE to collaborate effectively with insurers, ensuring that tasks are completed efficiently.
We are thrilled to be developing straightforward AI and machine learning solutions, along with providing the necessary support for their integration into your business and technological frameworks.
Our conviction lies in the idea that minor enhancements made consistently over time can revolutionize the motor claims industry, and we are equally inspired by the notion that ambitious visions can be realized sooner than anticipated. In this evolving landscape, we are committed to being at the forefront of these transformative changes.
Description
A data-driven solution for managing claims and remittances specifically designed for healthcare providers looking to streamline their workflows, enhance resource efficiency, minimize denial rates, and expedite cash flow. Boost your initial claim acceptance rate significantly. Our all-inclusive edits package ensures you remain compliant with evolving payer guidelines and regulations. Increase your team's efficiency with user-friendly, exception-based workflows and automated procedures. Your personnel can conveniently utilize our adaptable, cloud-based platform from any device. Effectively manage your secondary claims volume through the automated creation of secondary claims and explanations of benefits (EOB) derived from the primary remittance advice. Leverage predictive artificial intelligence to identify and prioritize claims that require attention, allowing for quicker error resolution and minimizing denials before submission. Achieve a more efficient claims processing experience. Additionally, print and distribute primary paper claims, or compile and send collated claims along with EOBs for secondary submissions. This holistic approach not only enhances operational efficiency but also promotes better financial performance for healthcare providers.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Adobe Document Cloud
Amazon Web Services (AWS)
Experian Aperture Data Studio
Hyperledger Fabric
Microsoft 365
Integrations
Adobe Document Cloud
Amazon Web Services (AWS)
Experian Aperture Data Studio
Hyperledger Fabric
Microsoft 365
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
Yarris
Country
Australia
Website
www.arniesoftware.com
Vendor Details
Company Name
Change Healthcare
Founded
2007
Country
United States
Website
www.changehealthcare.com/solutions/revenue-cycle-management/reimbursement-management/assurance-reimbursement-management
Product Features
Insurance Claims Management
CRM
Claims tracking
Customer portal
Document management
EDI data exchange integrations
Electronic claims
Fraud management
Reporting
Product Features
Claims Processing
Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration