AI Essentials for Doctors

You were trained to appraise evidence, not algorithms. The tools now drafting letters, summarising notes and answering patient questions arrived without a manual and without a standard for judging them.

Developed and delivered with medical leaders shaping how AI enters NHS practice. Hands on from the start, building the ethical and legal guardrails alongside the tools, so you leave able to tell what is safe to use in your practice and what is not.

• Identify where AI is already working in healthcare, across diagnostics, administrative support, coding and patient engagement, and where the claims outrun the evidence.
• Build fluency with the AI already sitting inside your Copilot licence, using it on your inbox, your week’s planning and your teaching prep so the tools give time back rather than take it.
• Evaluate the ethical, legal and professional implications of AI in clinical settings, including information governance, consent, bias and where accountability sits when the tool gets it wrong.
• Analyse case studies of AI adoption in NHS workflows and other health systems, taking what transfers to your own department and leaving what does not.
• Adopt AI using strategies that protect patient centred care, keep patient identifiable data out of prompts and hold the clinical judgement with you.
• Discuss AI confidently with colleagues, patients and stakeholders, making the case for thoughtful implementation rather than blanket enthusiasm or blanket refusal.