UCLH develops AI to identify patients likely to skip appointments 

12/04/2019 00:00 
UCLH has developed artificial intelligence to predict which patients are most likely to miss appointments.

A team from UCLH and UCL created an algorithm using records from 22,000 appointments for MRI scans, allowing it to identify 90% of those patients who would not attend. 

“On average we estimate this could save £2-3 per appointment,” NHNN consultant Parashkev Nachev told The Guardian. “Given that a big hospital could have nearly a million scheduled events per year, that could potentially be a lot of resource.” 

The project is part of a broader programme that aims to bring the benefits of the machine-learning revolution to the NHS, led by the NIHR University College London Hospitals Biomedical Research Centre (NIHR UCLH BRC), a £114m translational research centre that transforms scientific breakthroughs into life-saving treatments for patients. 

The health secretary, Matt Hancock, called for AI-based approaches to be rolled out more widely. “Missed hospital appointments waste patient and staff time, prevent sick people from being seen at the earliest opportunity and cost our amazing NHS an unjustifiable amount of money,” he said.

“Artificial intelligence has enormous potential to revolutionise healthcare and this is exactly the type of innovation our NHS needs to embrace to ensure every penny goes further as part of the Long Term Plan.”

Read more in the Guardian here.

 Latest news

 Contact details

Communications unit
2nd floor central
250 Euston Road
London NW1 2PG

Media enquiries

Switchboard: 020 3456 7890
Media enquiries: 020 3447 7542 / 020 3447 9506
Email: uclh.media@nhs.net

Out of hours
The normal working hours for the Communications Unit are Monday to Friday 9am – 5pm. The only media enquiries that will be answered outside of these working hours are urgent enquiries and those relating to major incidents. To access the out-of-hours service call switchboard on 0845 155 5000.

Share this story