We are using AI technology to solve a critical problem for healthcare providers
DENIALS REMEDIATION POWERED BY DANIEL
Daniel is our AI platform that uses machine learning (ML) to fix and re-submit denials
Daniel’s AI utilizes ML reinforcement learning algorithms to fix denied claims by analyzing each denial, determining what is wrong, and providing recommended actions to fix the claim so it can be re-submitted for approval and payment
Discovery & Integration
Full API integration with EMR, PMS and medical billing software platforms to accept data from disparate sources
Data Preparation & ETL
Claims data from formats, such as EDI, is thoroughly cleaned, standardized and integrated into our AI platform, Daniel
ML Reinforcement Learning
Our algorithms analyze massive amounts of data to detect patterns. Daniel then recommends corrective actions to fix the denials for resubmission
Static & Dynamic Agents
Our ML architecture uses agents that learn new patterns to understand how to fix denials
Denial Tracking & Management
Daniel tracks the entire end to end history of a denial. It builds a complete picture of a denial associating all related data to that denial
Proprietary Data Models
Daniel’s data models are constanting improving as new data is added. This in-turns feeds accuracy of Daniel’s denial correction algorithms