Event Date/s:
29/10/25
Event Time:
7.30pm
Getting the Best Out of AI: An Introduction to Prompt Engineering
Location:
iOH
Presented by Dr Martin Esugo
Wed 29 October 2025, 7:30 pm
Details
Large Language Models such as ChatGPT have quickly become everyday tools, but many occupational health professionals are unsure how to use them effectively. Prompt engineering, the craft of designing clear and structured prompts, is key to getting accurate, safe and efficient outputs.
In this webinar, we will introduce the essentials of prompt engineering for those with little or no technical background. We will explore how the wording of a question changes the quality of the response, and demonstrate practical techniques to improve reliability and reduce wasted effort.
Through live examples, we will show how prompts can be tailored to occupational health contexts, such as creating accessible patient information, summarising complex research papers, or drafting clear reports. By the end of the session, participants will have a practical set of strategies they can use immediately in their own work.
Presenter
Dr Martin Esugo is a Research Fellow in Data and Artificial Intelligence at Birmingham City University, working within the West Midlands Health Tech Innovation Accelerator Programme to support healthcare startups through AI and machine learning solutions.
His expertise spans Python programming, data science, natural language processing and the development of AI-driven tools for healthcare and beyond. He has contributed to projects ranging from advanced traffic simulation and computer vision for road-marking detection to AI-powered occupational health chatbots and mass-casualty simulation tools.
Martin is keen to share his practical experience of applying AI in healthcare and related fields, and to support professionals in building confidence with these technologies.
"This was an absolutely brilliant session"
"Absolutely brilliant session - was so thought provoking and great to be sharing and seeing where OH and VR can compliment each other."
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