Define and interpret ethical and legal concepts governing healthcare NLP. Explain data protection and patient rights regulations impacting NLP. Apply ethics and compliance frameworks to clinical NLP scenarios. Analyze ethical dilemmas and regulatory case studies in AI-enabled care. Evaluate ethical risk mitigation strategies in healthcare NLP. Design policy and compliance frameworks that align NLP systems with ethical best practices.

Foundational knowledge of health informatics and healthcare data management. Understanding of NLP concepts or previous completion of Units 3.1–3.4. Awareness of healthcare regulatory frameworks such as HIPAA or GDPR. Basic familiarity with ethical theories (autonomy, beneficence, justice) in healthcare contexts.

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Healthcare IT Professionals responsible for deploying or evaluating NLP technologies. Compliance Officers and Data Privacy Managers in healthcare organizations. AI and NLP Engineers working with sensitive health data. Health Informatics Students and Researchers interested in ethical AI governance. Clinicians and Policy Makers involved in digital transformation and patient data protection.