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projectThe tool predicts early signs of health deterioration, including fall risk, by analysing vital signs such as temperature, heart rate, and blood pressure.
This information was sourced from "Health Deterioration and Fall Prediction Tool" by AI.GOV.UK, https://ai.gov.uk/knowledge-hub/tools/health-deterioration-and-fall-prediction-tool/?directTo=library. Licensed under Open Government Licence v3.0.
Preventable hospital admissions, particularly among older adults, place significant strain on the NHS. Falls alone account for over 4 million hospital bed days and cost the NHS an estimated £2 billion per year. However, early signs of deterioration often go unnoticed in home care settings due to limited real-time clinical oversight and a reliance on manual reporting.
The tool predicts early signs of health deterioration, including fall risk, by analysing vital signs such as temperature, heart rate, and blood pressure. This information is collected by carers, family members, or healthcare professionals using a mobile app. It then generates real-time alerts to enable timely intervention. The system also supports care planning, detects illnesses like flu and COVID-19, and automates routine tasks such as scheduling and documentation.
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