Artificial intelligence (AI)-enabled tools such as natural language processing (NLP) have been integrated into a wide range of applications, including risk adjustment coding tools, for greater ...

Healthcare coding has fundamentally transformed from volume-driven revenue capture to compliance-first, defensible documentation standards.

Does AI hold up in retrospective risk adjustment once real customers put it to work? KLAS Research went and asked. RAAPID was ...

Faced with new government regulations, Medicare Advantage (MA) organizations should be utilizing technology to increase the accuracy of their coding, mitigate their risk, and ensure appropriate care ...

NEW YORK--(BUSINESS WIRE)--Datavant, the data collaboration platform trusted for healthcare, today announced that it has been named the #1 Ranked 2026 Best in KLAS Award winner in both the Risk ...

RAAPID's AI-powered risk adjustment solution received an A+ would-buy-again grade (Emerging Data, n=5) from interviewed customers in the May 2026 KLAS Emerging Company Spotlight, citing AI accuracy ...

Part 1 below covers key tradeoffs and the first two of four categories of strategies that have been advanced to improve risk adjustment in Medicare Advantage. Part 2 tomorrow will cover the remaining ...

While technical in nature, risk adjustment is crucial to the future of health care transformation... If reforms to risk adjustment are to succeed, all of us concerned with the future of our health ...

RAAPID, INC., a leading Neuro-Symbolic AI-powered risk adjustment platform for payers and at-risk providers, today announced that it has been featured in the May 2026 KLAS Emerging Company Spotlight ...