Medical AI Approval: Wrong Metrics Harm Patients
krishnan · x · 2026-07-20
The US government is piloting AI to evaluate Medicare claims to reduce spending. The author notes that medical approval already has conflicts (payers want cost control, doctors want speed, patients want treatment), and AI will not eliminate conflicts but scale existing incentives in workflows.
If AI accelerates approval of reasonable cases, it brings value; if used to speed up denials, it worsens the system. The author stresses success metrics should not be 'how many requests processed' but: approval time for routine cases, quality of denial reasons, appeal overturn rate, and clinician review rate for ambiguous cases.
Citing an AMA survey, 61% of doctors fear AI will worsen denials of necessary care. The rule for medical AI: Automate easy approvals, escalate uncertain cases, and clearly explain denials.
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