BELLEVUE, Wash.--(BUSINESS WIRE)--Edifecs, Inc., a global health information technology solutions company, today announced its new product, Concurrent Risk Adjustment (CRA). CRA helps Managed Care ...
Review Proposed Changes for Medicare Advantage Plans in 2024 Discuss the change from Version 24 to Version 28 and the impact on Risk Adjustment Calculation Methodology Explain how Fee-for-Service will ...
LEWES, Del., April 22, 2025 (GLOBE NEWSWIRE) -- John Snow Labs, the AI for healthcare company, today announced its new end-to-end Hierarchical Condition Category (HCC) coding engine designed to help ...
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 ...
The MarketWatch News Department was not involved in the creation of this content. Joint customers can improve coding accuracy, strengthen compliant submissions, and strengthen RAF integrity with ...
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 ...
This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...
To facilitate full and accurate Hierarchical Condition Category (HCC) coding, it is crucial that providers take a disciplined approach to documenting medical encounters in patient records. The AAPC ...
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 ...
Your members are sicker than your risk scores reflect. Not because diagnoses don't exist—they're buried under unstructured data across fragmented systems. Every missed Hierarchical Condition Category ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results