Predictive Model Validation Readme for Clinical Use
Practical checklist and explanation for validating predictive models before operational use.
Sections: intended use statement, population and generalizability checks, performance metrics (AUROC, calibration, PPV/NPV), fairness checks by subgroup, prospective shadow testing plan, monitoring metrics and refresh cadence, clinical workflow integration considerations, and rollback criteria. Includes minimal reporting template for governance committees.
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