AI in the Training Environment: A Practical Session for Supervisors
what does this course cover?
Your residents are already using AI. In their clinical work, in their portfolios, in their specialty applications. The question is no longer whether this is happening, it is whether you know enough to supervise it safely.
Three hours to get you there, with the JRCPTB position, the portfolio questions and the practical judgement calls.
Learning outcomes:
- Recognise how resident doctors are using AI in clinical practice, and identify where it adds value and where it creates risk.
- Guide residents on AI in ePortfolios, specialty applications and reflective logs, drawing on the current JRCPTB position.
- Spot AI generated portfolio entries, know what your responsibilities are as a supervisor, and know when to act.
- Advise residents on appropriate use of AI in presentations, correspondence, manuscripts and everyday professional communication with colleagues.
- Build your own AI skills and use them to strengthen your teaching, your feedback and your educational practice.
OTHER WORKSHOPS YOU MIGHT BE INTERESTED IN
Championing Sexual Safety: Leading Respectful and Inclusive Workplaces
Sexual misconduct in healthcare is rarely stopped by policy alone, it is stopped by colleagues who notice, speak up and know how to respond when something is wrong.
Grounded in the Sexual Safety Charter, this session equips you to act as a...
training programmes for :
Leadership & Management
Course Length
GMC Domains
Foundations of Quality Improvement in Medicine: A Doctor’s Toolkit
This interactive workshop on Practical Quality Improvement offers a hands-on ‘learning by doing’ experience, utilising real-world case studies to master quality improvement techniques within NHS settings