Summary
Provides a linked suite of guidance for patients, health and care professionals, and information-governance teams on lawful and safe data use in AI, covering data-protection impact assessments, legal bases, controller and processor roles, data minimization, accuracy, fairness, transparency, security, and automated decision-making.
Healthcare Implications
Health and care organizations should complete a data-protection impact assessment before implementing AI, document legal bases and responsibilities, assess data quality and unfair effects, provide clear information to patients and staff, apply data-minimization and security controls, and retain meaningful human review for consequential uses.