Assess learners' ability to evaluate ethical, legal, clinical, and operational trade-offs when planning, implementing, and governing AI-driven clinical decision support systems across multi-hospital networks; test covers scenario-based risk–benefit analysis, bias and equity mitigation, patient privacy and consent, regulatory compliance (e.g., FDA, HIPAA/GDPR), clinical validity and workflow integration, interoperability, liability allocation, monitoring and incident response, scalability/resource allocation, and stakeholder governance, requiring prioritization and justified mitigation strategies under competing constraints.