Proactive prevention in action: preventing falls in Norfolk AUTHORITIES ARE ALREADY SEEING THE BENEFITS OF A PROACTIVE PREVENTION APPROACH, FOR EXAMPLE IN NORFOLK WHERE FALLS ARE REDUCING DRAMATICALLY
The approach:
The challenge: In Norfolk, a third of people over 65 fall every year, deeply impacting a person’s confidence, mobility and wellbeing, and costing health and social care over £4,000 per fall. The ambition: Norfolk County Council and its partners wanted to identify people at risk of a fall and offer them preventative support to increase independence and reduce demand for adult social care and health.
Intervening to mitigate the risk Tailored interventions are provided to at- risk individuals, building on individuals’ strengths and on the assets within local communities.
Identifying at risk individuals NCC built a unique connected data platform which provided a single view of residents. A supporting AI model predicted with 70% accuracy which residents were most at risk of a fall.
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3 key elements to this approach: 1. Safely connecting individual data across organisational siloes to form a holistic understanding of Norfolk’s residents 2. Automatically enriching existing data by applying Large Language Models to case notes to extract strength and risk information 3. Applying machine learning models on top of our enriched resident data to target the right people with the right support
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