Coventry University using latest AI tools to create next generation of virtual patients to train students

PhD student Juliana Samson looking at a screen showing the virtual patient which is a woman sat in a chair

PhD student Juliana Samson working with the virtual patient

University news / Research news

Tuesday 16 April 2024

Press contact

Press Team
press.mac@coventry.ac.uk


Coventry University is creating the next generation of virtual patients to help teach the healthcare workers of the future.

The use of next-level artificial intelligence means that students will be able to interact with an avatar that “behaves like a patient” by giving individualised answers to specific questions, rather than just being able to list symptoms.

The new large language model AI also drastically cuts the time it takes to create a virtual patient meaning eventually people will be able to easily create their own customised situations.

PhD student Juliana Samson, from the university’s Research Centre for Healthcare and Communities, worked as a physiotherapist for 20 years and is leading the research alongside AI firm PCS to create the software which learns as it goes, allowing the creation of more sophisticated avatars for students to practice with and learn from.

Previously you would have to create folders and folders of every single question and answer that you might imagine happens in a conversation and link it all together – it was a really laborious process and wasn’t as fluent or adaptable. Now we're massively cutting the time that this needs in terms of the build and the responsiveness is off the scale.

With this artificial intelligence we have been able to create an avatar that actually behaves like a patient and can be created quickly. It would previously have taken around 100 hours to create a virtual patient, but we did a 30-minute activity and the draft was miles better than before.

The software has stepped up a level. The AI can generate a lot of human conversations that you would need to have and students will be able to have conversations without traumatising or upsetting a real human, and if you get it wrong you can go again.

PhD student Juliana Samson

 

The conversations see students given points for asking pertinent questions on different subjects, as well as being able to read the entire conversation back afterwards to look at what went well and what they could improve.

For her current research, which also involves Coventry University’s Research Centre for Postdigital Cultures, Juliana is working with students and professionals in healthcare and technology. Several healthcare disciplines are involved, spanning from paramedics to social work.

Another benefit of the technology is helping students to practice taking a patient’s history during a clinical conversation at an earlier stage in their career as this would not usually happen until on placement.

We are thrilled to provide Coventry University our most intelligent Spark virtual patient AI, now driven by an in-house trained generative large language model for never-before-seen realism in communication training. We are excited to see how far the university's domain experts can take this AI with their custom scenarios.

Balazs Moldovanyi, CEO of PCS

Collaborating with Juliana is a dynamic experience and her enthusiasm and mission-driven mindset infuse every meeting with purpose and energy. She adeptly learns the more technical aspects of our technology while educating our team on the necessary clinical components of the project.

I feel privileged to be a part of this collaboration and together we’ve synergized our strengths to achieve ambitious milestones over the past 20 months, while staying true to our shared goal of making a positive impact in Interprofessional Education (IPE) using AI-driven simulations.

Michelle Castleberry, co-founder of PCS

The latest step in improving the virtual patients is a co-creation event to optimise the performance of the AI with a team of occupational therapy and physiotherapy students, academics and clinicians using the software to suggest ways in which it can be improved or made more realistic.

Anyone interested in taking part in the next co-creation or wanting to find out more can do so here or alternatively email samsonj2@coventry.ac.uk by Thursday, 25 April.