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Formal framework quantifies physician quality using verified AI data, suggesting a meritocratic approach.
The evaluation of physician quality has relied on informal proxies: institutional affiliation, seniority, peer esteem, and publication count. The advent of verifiable clinical AI creates the technical conditions for an objective, continuous, and bias-resistant measurement of physician quality. This paper presents the Global Clinical Performance Score (GCPS), a formal five-axis framework for quantifying physician clinical cognition based exclusively on verified interactions within a multi-agent verification architecture. The GCPS is a metric accumulated through cryptographically auditable events, designed to reward diagnostic accuracy, intellectual contribution, and the safe acknowledgment of uncertainty. We describe its integration with the outcome-gated physician royalty economy and its role in creating the first global meritocracy of clinical talent.
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TOMASZ GOMOLA (2026) studied this question.
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