A study conducted by Faculty suggests that NHS leaders could save the healthcare system £1 billion per year by autumn 2026 by implementing a new AI-led model of home healthcare from Cera.
The study analyzed data from Cera’s Digital Care Plan platform, which utilizes AI technology to provide care for elderly individuals in their own homes, reducing hospitalizations by at least 52% and up to 70% in the over 65 age group.
Cera’s platform, already in use by 150 local authorities and 29 NHS integrated care boards, has been credited with preventing at least 233 emergency admissions per month by predicting falls, monitoring symptoms, and mobilizing nurses and carers to respond to high-risk alerts.
The platform’s success in reducing hospitalizations results in cost savings for the NHS, amounting to £1 million per day currently, with projected savings of £2 million per day by summer 2025 and more than £3 million per day by autumn 2026 – equivalent to £1 billion in annualized savings.
Cera’s founder and CEO, Ben Maruthappu, emphasized the significant impact the technology is having on healthcare outcomes and cost savings, stating that the platform is revolutionizing healthcare services and alleviating pressure on the NHS and government.
Over the recent winter period, Cera’s AI-powered care model facilitated 7.5 million home care visits, saving an estimated £100 million for the NHS. By eliminating unnecessary hospitalizations through their home healthcare model, Cera is saving more than 1,210 hospital bed days every month, with each bed costing £460 on average.
Hugh Neylan, head of health at Faculty, highlighted the importance of shifting care from hospitals to patients’ homes as a fundamental aspect of the future health and social care system, noting the growing cost savings delivered by AI technology.
