
"The system, now in use across 50 NHS organisations and available to all trusts, is designed to identify likely surges in A&E attendances days and weeks in advance. By analysing a wide range of data, from historical hospital admissions and seasonal illness trends to Met Office temperature forecasts and day-of-week patterns, the tool helps managers plan staffing levels, bed capacity and resources more effectively."
"The initiative forms part of the Prime Minister's AI Exemplars programme, which is applying artificial intelligence across public services, including health, education, justice, tax and planning, to modernise systems and improve outcomes. Technology Secretary Liz Kendall said AI was already transforming healthcare and that demand forecasting marked the next step in that journey. She said the tool would help hospitals predict pressure points, get patients treated faster and support NHS staff during the most challenging months of the year."
An AI-powered forecasting tool is being deployed across 50 NHS organisations and made available to all trusts to predict likely surges in A&E attendances days and weeks in advance. The system analyses historical hospital admissions, seasonal illness trends, Met Office temperature forecasts and day-of-week patterns to forecast demand. The forecasts support staffing level adjustments, bed capacity planning and resource allocation to reduce last-minute pressure on frontline teams. The tool continually learns from evolving seasonal health data. The rollout addresses heightened winter demand driven by record flu cases, cold weather injuries and other seasonal illnesses, alongside ongoing vaccination delivery.
Read at Business Matters
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