Medicine and Health

Discipline-specific considerations of generative AI

• Ethics and privacy (data security): AI is useful for learning and assisting in case scenarios, but it is crucial to protect sensitive data and ensure patient confidentiality. Health students have a responsibility to ethically manage data, not to provide AI tools with highly protected data such as personally identifiable medical information, especially in real clinical scenarios and placements - to protect their own, and others’ information rights.

• Bias: Learning in specific disciplines is heavily determined by the needs and resources of the schools within the faculty of Medicine and Health. AI systems are limited by the data it’s trained on. Therefore, students should critically evaluate the biases in AI tools, and use it as a supplementary tool to the University’s resources.

• Reliability: AI tools lack the specific training on the detailed requirements of medicine and health units, and therefore not accurately interpreting the nuances of specialised medical fields. Students should approach AI as a tool that provides broad insights, rather than a source for definitive answers.

• People orientation: In a field that emphasises individualised care and human interaction, prioritising patient needs and ethical considerations is essential. AI cannot replace the necessary people skills in healthcare.

Real-world examples of generative AI in the discipline

 Some prompts to help in the discipline

• Connecting new concepts with previous knowledge

• Preparing questions, then practicing them by Generating multiple choice questions, and Practicing through cloze passages.

• Breaking down topics using the Feynman Technique to consolidate understanding

• Managing and planning your time by Planning your study and creating a Study Plan and Timetabling for Exam Preparation

• Training with simulated scenarios to practice your responses and receive instant feedback

• Overviewing a new concept to assist in your learning

Use cases of generative AI in the discipline