Programme
- Day 1
-
AM only
- 9.25
-
Registration
- 9.30
-
Welcome and introduction
Dr Lara Shemtob, Imperial College London
- 9.40
-
AI in OH: current practice
Dr John Ballard, Occupational Health [at Work]- Extent of use of AI in OH
- Which tools are being used and for what purposes?
- AI training and OH policies
- Benefits and concerns
- 10.10
-
What is AI… what is not AI?
Dr Lara Shemtob, Imperial College London
- Definitions
- Common misconceptions
- Current capabilities and limitations of AI in a clinical and workplace context
- AI learning, errors and bias
- Quiz
- 11.10
-
Coffee
- 11.25
-
How can AI be used in occupational health?
Dr Lara Shemtob, Imperial College London- Benefits and concerns of using AI for:
- Triage and appointment prioritisation
- Ambient scribing and report writing
- Analysing absence patterns
- Literature search and summarisation for case management and OH policy
- Preplacement
- How and when to communicate when AI is being used
- Practical skills for report writing, case management, communications, and policy development.
- Active learning: Using AI for support in unusual case presentation
- Active learning: Generation of an OH report
- How can you evaluate AI-generated outputs for accuracy, relevance, bias, and appropriateness for clinical OH use
- Active learning: Auditing AI report output
- Using your clinical judgement
- Benefits and concerns of using AI for:
- 13.00
-
Close of morning
- Day 2
-
AM only
- 9.25
-
Registration
- 9.30
-
Welcome and introduction to day 2
Dr Lara Shemtob, Imperial College London
- 9.35
-
What’s on the market?
Janet O’Neill, PAM Group- The current health-tech and workplace AI landscape
- What tools are available – and what are their strengths and limitations?*
- Tools for generating OH reports
- Tools for triage and wellbeing analytics
- EAP/mental health chatbots
- Key issues: evidence base, meeting governance standards, transparency, and cost
- Active learning: Use a scoring matrix to assess what’s on the market
- 10.35
-
Coffee
- 10.50
-
How do I use AI safely, ethically and legally?
Grace Corby, Cloisters
- Ethical and legal principles, including GDPR and clinical data governance standards
- Risks of bias, discrimination, and inaccuracies
- Safeguards to ensure the safe use of AI in OH
- Medico-legal boundaries, including responsibility for decisions assisted by AI
(Please note that there is a small possibility that this session might be pre-recorded)
- 11.40
-
Don’t get left behind!
Dr Lara Shemtob, Imperial College London
- How AI is reshaping workplaces, job design, psychological risk, and organisational expectations
- Future skills profile for OH practitioners: digital literacy, data interpretation, AI auditing, and human-technology leadership
- Developing personal strategies for upskilling
- Advising organisations on responsible AI adoption – positioning OH as strategic partners in workforce transformation
- Building confidence– experimenting with AI tools, focusing on safe, practical use
- Active learning: Where do I go next? Takeaways
- 12.15
-
Q&A
- 12.30
-
End of course
* Please note that this training will deliberately not endorse any particular AI tools or products – instead it gives you the skills to understand what might work in your practice.
Benefits of attending
- Guidance on the safe and ethical use of AI and the legal issues surrounding this – so that you understand the issues, including data privacy and security and the risks and responsibilities involved in using AI.
- An understanding of some current tools on the market and how to assess their potential use within your organisation, including assessing the evidence base, governance standards, transparency, and cost.*
- Advice on keeping up to date as AI evolves
- Practical skills and tips throughout the training, with exercises on how to:
- Assess general AI tools on the market
- Use AI for support in unusual case presentation
- Audit AI report output
- Produce an OH report
This training is designed for:
OH professionals and others working in an OH setting. The course begins with first principles and does not assume prior knowledge of AI. It does not teach clinical skills and assumes experience of OH practice.
OH professionals are recommended to attend an At Work Partnership OH Report Writing course in advance of attending this training.
