Assess learners' ability to analyze and weigh trade-offs among clinical effectiveness, workflow integration, patient privacy, and regulatory compliance when implementing AI-driven clinical decision support systems; tasks include evaluating evidence of clinical benefit, identifying workflow design and change-management strategies, recommending privacy-preserving data practices (e.g., de-identification, access controls, auditing), and aligning solutions with relevant regulatory frameworks (e.g., FDA, HIPAA, GDPR) to propose balanced, stakeholder-informed implementation recommendations for realistic case scenarios.