Clinical AI requires evaluation standards that go far beyond accuracy metrics. We implement comprehensive testing frameworks that measure clinical validity against physician performance, audit for demographic bias, test edge cases pre-deployment, and monitor real-world outcomes with automated drift detection. Our approach follows FDA guidance and the risk management standards used at leading academic medical centers.