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Article
Assessing V28: four key questions all payers need to ask 

Learn how CMS’s new Risk Adjustment Model V28 affects Medicare reimbursements, HCC coding, and value-based care success—plus key strategies for health plans to adapt.

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RxHCC suspecting in the post-V28 landscape

Risk Adjustment’s transition to V28 has prompted value-based care organizations to incorporate prescription data to create a comprehensive and accurate view of patient risk profiles.

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Article
Overcoming 5 barriers to healthcare quality improvement excellence

Prospective risk adjustment, streamlined retrieval and coding, and comprehensive quality assurance may be the key to preventing OIG audits.

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Leveraging clinical insights for breast cancer screening to improve Star ratings

AI is allowing providers to conquer the biggest challenges in prospective risk adjustment – capturing a full picture of patient health and reducing provider abrasion.

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Three ways AI is transforming prospective risk adjustment

Value-based care companies are using AI to understand patient health and find undiagnosed conditions through prospective risk adjustment programs.

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AI in action: transforming provider workflows for better care

AI solutions are transforming provider workflows through clinical system integration and by driving insights to the point of care.

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3 Ways to prevent an OIG audit

OIG is auditing more health plans for Medicare and Medicaid Overpayments at a time when payers are already concerned about lower reimbursements.

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Article
5 steps to align Risk and Quality for better health outcomes

Aligning risk adjustment and quality improvement requires collaboration, centralized, real-time patient data and an AI-powered platform for value-based care.

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Article
AI in Medical Coding: Enhancing Accuracy, Efficiency, and Patient Outcomes

See how AI improves efficiency and accuracy of medical coding for providers, improving value-based medicine outcomes.

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