AI is swiftly being adopted in every sector – not just the tech industry.
New Multiverse analysis of over 2,500 of its AI apprentices has revealed that over two-thirds of people applying AI at work are in roles not traditionally associated with technology, challenging the often narrow definition of ‘AI talent’.
Underlining this, the analysis shows that hospitals and healthcare is one of the top five industries with the highest density of AI apprentices outside of those classified by the ONS as ‘digital industries’. Nurses, doctors, psychiatrists, therapists and clinical leads are among the top 50 most common job titles in Multiverse’s AI apprentice base, demonstrating how front line workers are helping adopt AI in meaningful ways across the UK healthcare system.
This is the third in our series hearing from five of Multiverse's AI apprentices, based in varied jobs around the UK, who are part of an emerging class of AI jobs - the 'invisible' AI workforce.
Using AI to give a voice to intubated patients at Barts Health NHS Trust
In the critical care unit of Barts Heart Centre, senior nurse Anna Lazcano witnesses daily the challenges of intubated and tracheostomy patients, many of whom are unable to speak while they recover. This communication barrier can prevent clinicians from accurately assessing their needs.
Drawing from her frontline experience, Anna is pioneering "Project VOCAL", an innovative AI-driven tool to give these patients their voice back. The system is designed to use gesture tracking, speech synthesis and predictive text to help patients express their needs, even when mechanically ventilated. Bridging this critical communication gap would help hit key clinical goals like timely extubations, which in turn reduces complication rates and shortens hospital stays.
