Yoroclaims uses the Yororules to bring the rule authoring an effortless task for even a non-technical person.
Cloud is a basic standard, and Yoroclaims is cloud-native that runs in any cloud, hybrid cloud, or on-premise deployment.
Claims processing has been traditionally slow because of the data involved. Significantly, the history data for various history-based editing.
Support for multi-source claims (via EDI, mail, fax, web, web services), provider enrollment, prior authorization entry via multi-channel, and flat file
A proven technology platform with extensive throughput of claims processing based on our big data implementation
Efficient, accurate, and timely claim processing for providers and beneficiaries
Highly automated on healthcare policies by reducing the claim resolution process
Integrated machine learning techniques to guide and help automate across systems
Post-payment and pre-payment detection capabilities to analyze past incidents and automate claim payment
Customer controlled and configurable business rules engine
Reduce claims costs and risk through proactive detection, recovery of claims payments
Developed on NoSQL MongoDB for any big data systems. The system Scales Out rather than the traditional RDBMS way of Scale up
Built for Cloud Deployment – As needed, it can scale out on the performance without any code changes
Improve customer satisfaction and retention by making it easy to provide detailed and sophisticated analytic assessments of the claims
A complete modern web based healthcare claims processing architecture