A new AI tool is being implemented across the NHS to predict patient fall risks with 97% accuracy, potentially preventing up to 2,000 falls and hospital admissions daily. Developed by health tech provider Cera, the tool monitors vital health signs, alerting healthcare staff to intervene before deterioration occurs.
The AI technology developed works by monitoring vital health signs in real time, such as blood pressure, heart rate, and temperature. It allows carers, family members, and healthcare staff to input patient updates through an app, which then processes this information to predict potential health risks, including the likelihood of falls or other health deteriorations.
Once the system detects any concerning patterns or signs, it generates alerts for healthcare professionals, notifying them about patients who are at high risk. This allows healthcare staff to intervene early, providing care at home to prevent the need for hospitalisation.
Additionally, the software automates administrative tasks like visit scheduling and care plan creation, helping healthcare workers focus more on direct patient care. By analyzing these real-time data and alerting professionals when necessary, the AI tool helps ensure that vulnerable patients stay safe at home and avoid unnecessary hospital visits.
In use for over 2 million patient visits monthly, it provides care at home, reducing hospitalisations by up to 70%.
The tool is already saving the NHS over £1 million daily, helping to reduce A&E visits and hospital bed occupancy.
This technology aligns with the NHS’s 10-year Health Plan, which focuses on shifting from hospital care to community-based solutions. As Dr. Vin Diwakar from NHS England highlights, AI is revolutionising how healthcare can predict, prevent, and treat issues before they require hospitalisation.
Article written by NHS team
05/03/2025
Source:
NHS