Feature Category: Machine Learning

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End-to-End Appeals Automation

Automates denial and appeal decisions based on payor polices and guidelines – analyzes & extracts necessary documentation to support each claim – manages cases through each phase – compiles all additional enclosures …

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Real Time Communication

Monitor cases and receive status updates – gain actionable insights in real time to help expedite case resolutions – visibility into denial patterns and performance, enabling proactive problem solving …

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Intelligent Data & Analytics

Track and analyze appeal data gaining valuable insights that help process improvement and reduce future denials – predict the likelihood of success for each appeal, enabling clinicians to prioritize high value appeals

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Medical Literature Database

Analyze and extract all relevant information from our robust database of medical literature to further support each appeal. Using NLP, AppealEase automates the process of compiling important enclosures like …