AI in Healthcare: Ethics and Responsible Use

About This Course

"1. Describe key concepts of Generative AI and how AI-enabled tools can support healthcare delivery, patient communication, administrative tasks, clinical decision-making, workflow efficiency, and service improvement.
2. Assess where Generative AI may add value in care settings, while recognising limitations such as inaccurate or incomplete outputs, bias, lack of clinical context, privacy risks, and the need for human review.
3. Demonstrate basic digital literacy in interacting with AI tools, including crafting clear and purposeful prompts, providing relevant context, refining outputs, and applying professional judgement to ensure that AI use remains safe, appropriate, and aligned with care standards.
4. Identify key ethical considerations such as patient privacy, data protection, bias, fairness, transparency, accountability, over-reliance, and patient safety in the use of AI and digital tools.
5. Explain the importance of complying with organisational policies, data protection requirements, healthcare governance processes, and relevant regulatory expectations when adopting or using AI in healthcare contexts.
6. Assess the reliability, relevance, and limitations of AI outputs, and recognise potential risks such as misinformation, inappropriate recommendations, or outputs that may affect care quality and decision-making.
7. Examine how AI may influence job roles, work processes, professional responsibilities, patient relationships, decision-making, productivity, public trust, and the future skills needed in a digitally enabled care environment.
8. Appreciate AI as an assistive tool that can enhance care quality, safety, trust, and productivity, while maintaining empathy, professional judgement, communication, and accountability in healthcare practice."