An AI tool is being rolled out across the NHS that can predict a patient’s risk of falling with 97% accuracy, preventing up to 2,000 falls and hospital admissions each day.
The predictive tool, developed by Cera, is being used in more than two million patient home care visits a month, monitoring vital health signs such as blood pressure, heart rate and temperature, to predict signs of deterioration in advance so it can then alert healthcare staff.
It is in use across more than two-thirds of NHS integrated care systems and helps to provide care at home by flagging up to 5,000 high-risk alerts a day, reducing hospitalisations by up to 70%.
Dr Vin Diwakar, national director of transformation at NHS England, said: “This new tool now being used across the country shows how the NHS is harnessing the latest technology, including AI, to not only improve the care patients receive but also to boost efficiency across the NHS by cutting unnecessary admissions and freeing up beds ahead of next winter, helping hospitals to mitigate typical seasonal pressures.
“We know falls are the leading cause of hospital admissions in older people, causing untold suffering, affecting millions each year and costing the NHS around £2 billion, so this new software has the potential to be a real game-changer in the way we can predict, prevent and treat people in the community.
“This AI tool is a perfect example of how the NHS can use the latest tech to keep more patients safe at home and out of hospital, two cornerstones of the upcoming 10-year Health Plan that will see shifts from analogue to digital, and from hospital to community care.”
The software will also be used to detect the symptoms of winter illnesses like Covid, flu, RSV, and norovirus, allowing NHS and care teams to intervene before hospital care is needed.
Source: Digital Health, 5 March 2025
Recommended Comments
Create an account or sign in to comment