Cera has developed an AI tool that aids in predicting and preventing falls among elderly patients in their homes. Implemented across numerous NHS care visits, this technology monitors vital health signs to forecast fall risks, enabling timely intervention by caregivers. CEO Ben Maruthappu emphasizes the tool's potential not only to enhance patient outcomes but also to alleviate financial burdens on the healthcare system. The tool addresses a pressing issue, as falls frequently lead to emergency admissions for older adults, calling attention to its broader implications for health management during winter months.
AI in home care is a gamechanger; by enabling better care delivery it has the power to save countless lives while also saving the taxpayer billions.
We've seen first-hand how AI can transform health outcomes for high-risk and vulnerable individuals - preventing illness and injury, radically reducing avoidable hospitalisations.
Falls are the largest cause of emergency hospital admissions for older people with estimates that around 30% of people aged 65 and above will experience a fall.
The technology works by allowing carers, family members and healthcare staff to record patient updates on an app which then monitors and reacts to a range of vital health signs.
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