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A Machine Learning Model to Improve Risk Adjustment Accuracy in Medicare
0
Zitationen
9
Autoren
2026
Jahr
Abstract
Franklin is an ML risk adjustment model that significantly improves risk-adjustment accuracy for Medicare beneficiaries compared to HCC. Franklin could generate improvement in payment accuracy, reduction in selection incentives, and financial savings to Medicare. Clarifying the equity impacts of more accurate risk adjustment is necessary.
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