How does training the NHS workforce make AI in healthcare safer?

In the last four to five years AI as a concept has exploded across society. Its benefits are known, but there is also a great deal of misunderstanding about it – a belief that the technology is running wild, changing its decisions and being unpredictable in its behaviours. We need to correct this perception and assure society that it is safe to exploit this technology. I also realised that as a team we needed to develop and grow our knowledge and experience with this technology to support our national safety assurance capability. Working with AAIP would help address some of these opportunities and challenges.

This [new CPD] used AMLAS as a specific assurance model, healthcare scenarios and included an in-depth case study. This was purposely delivered to a small community of 25 external delegates including clinical safety officers, clinicians, and developers. The course was fully subscribed, and participants gained a greater understanding of how to effectively assure AI for use in a care pathway. The delegates were ‘close to the use of the technology or product’ and would be able to influence and impact others around them. We ran this course twice and feedback from learners was that they had a stronger understanding of the state of the art; it corrected misperceptions about AI; and it encouraged them to think differently about how to assure its safe deployment. Using AMLAS in the training helped learners appreciate the need to be systematic in their approach to assurance.

They [AAIP] provided the opportunity and funding that enabled me to ringfence resource to focus on our research and education objectives, but more than that, they give us access to experts – including Ibrahim and Richard whose infectious enthusiasm, and championing of healthcare and safety, encourages success.

I would like to see understanding of AI grow and skills develop in effective assurance, the AAIP gives us the resources and knowledge to achieve this. The opportunities are immense for AI in healthcare. It could help with early screening and triaging, bedside monitoring and care, indeed any labour-intensive tasks with the benefit of staff being released to conduct higher skilled work. AI is never going to replace nurses and clinicians, rather supplement or complement what they’re doing to deliver care to patients, but we need to build trust in AI and there’s still a long way to go.