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Conventional vs. AI-Driven health care risk adjustment solutions

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Conventional vs. AI-Driven health care risk adjustment solutions

The global natural language processing (NLP) market revenue is expected to reach 43 billion in 2025.¹

NLP is helping value-based care health insurance companies allow computers to understand, interpret and manipulate human language, including clinical notes, HCC codes, and ICD-10-M codes for a chart review and audit process to claim optimized reimbursements.

This infographic will help you understand the care gaps in risk adjustment workflow when comparing a conventional and AI-Driven solution:

Conventional vs AI-Driven
Conventional vs. AI-Driven health care risk adjustment solutions

Wrapping up

RAAPID’s risk adjustment solutions are allowing a modern retrospective chart review and audit workflow available in Software as a service (SaaS) and Application programming interface (API) which is personalized and customized to accommodate any sized health care insurance organization dealing with value-based care program.




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Disclaimer: All the information, views, and opinions expressed in this blog are inspired by Healthcare IT industry trends, guidelines, and their respective web sources and are aligned with the technology innovation, products, and solutions that RAAPID offers to the Risk adjustment market space in the US.