From good prompts to great outcomes: practical AI skills for clinical practice
Most clinicians who try AI walk away unimpressed, and it usually isn't the tool's fault. It's the prompt. This session starts from the ground up with a plain-language explanation of what AI actually is and how these tools work, so anyone who missed part 1 can follow from the first slide. From there we build a simple, repeatable framework for writing prompts that produce genuinely useful clinical output instead of generic filler.
The majority of the session is hands-on, with prompts built, broken and rebuilt in real time: turning messy notes into a summary worth sharing with a team, and building a clear explanation that is then adapted for a different audience and a different reading level. We will also cover the skills that matter most for safe use: letting AI write and improve its own prompts, grounding answers in real documents so the tool cannot invent things, spotting hallucinations, and recognising when AI is simply the wrong tool. Every demonstration is run without any patient information, and the reasoning behind that is part of the teaching. GDPR, confidentiality and professional judgement run throughout.
Learning Outcomes
By the end of this webinar, participants will be able to:
- Write a structured clinical prompt using a five-part framework (role, context, task, constraints, format) and explain how each part changes the output.
- Refine a weak AI response into a usable one by improving it in sequence, including adapting the same content for a different audience and a different reading level.
- Use AI to write and improve its own prompts, reducing the need to memorise prompting techniques.
- Reduce and detect AI errors by grounding answers in source documents, recognising common red flags, and identifying when professional judgement should replace an AI tool.
Meet our Experts
Cody Lee is a practicing physical therapist and healthcare AI educator who created "AI for PTs," a practical course teaching physical therapists how to strategically implement AI tools in clinical practice. With hands-on experience using AI to streamline documentation, synthesize research, and enhance clinical decision-making, Cody bridges the gap between emerging AI technology and real-world healthcare applications. He focuses on helping clinicians work smarter, not harder, while maintaining the highest standards of patient care and professional ethics.
Jayne qualified as an OT in 1996 and has a wide range of clinical experience in acute and community settings. Her recent experience has been in Community Equipment Stores providing training and support to prescribers and commissioners.
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