Sponsored by Edifecs

The old guard of risk adjustment analytics is relegated to batch-based suspecting, leading to data lag, static insights, less effective interventions and reduced overall member health. Forward-thinking health plans know the future of risk adjustment accuracy and improved outcomes is Artificial Intelligence (AI) and FHIR-based. Driving not only real-time (or just-in-time) suspecting analytics delivered at the point of care, but enhanced provider engagement due to reduced manual operations. The summer of risk adjustment love is here!

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