Data and Analytic Approaches for Medical Frailty Exemptions
This presentation focuses on data-driven and analytic strategies for identifying and verifying medical frailty exemptions within Medicaid work requirements.
The resource details a multi-layered implementation approach that prioritizes self-attestation at the application stage to reduce initial administrative barriers, followed by automated verification at renewal using claims and diagnosis data.
Researchers from Harvard T.H. Chan School of Public Health provide preliminary data on using ICD-10 codes to identify eligible individuals, demonstrating that a 24-month lookback period could exempt up to 32.8% of the population compared to only 12% for a 3-month period.
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