This white paper examines the risks of autonomous AI coding in home health and hospice, where diagnosis accuracy, sequencing, and documentation support directly affect reimbursement and audit outcomes. It explains why a human-in-the-loop model, where certified coders validate every AI-generated recommendation, delivers greater accuracy, audit defensibility, and long-term reimbursement integrity than automation alone.
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