Assess learners' ability to analyze technical, ethical, regulatory, and organizational trade-offs when integrating AI decision‑support systems into clinical workflows, including evaluation of algorithmic performance and validation, data governance and privacy, bias and fairness mitigation, clinical responsibility and liability, interoperability and workflow impact, stakeholder roles, implementation strategies, risk‑benefit trade‑offs, regulatory compliance (e.g., medical device and health data laws), and design of monitoring and governance plans for real-world deployment; require applying frameworks to case scenarios to justify choices and propose mitigations.