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Connected Health Cities (Durham University) – Forecasting emergency unplanned care

By Tom Foley.

A collaboration to produce statistical models, powered by linked health, local authority and other data, that can be routinely used to produce daily forecasts, up to 6 months in advance, of variations in Urgent and Emergency Care usage, to enable planning in hospitals, walk in centres and GP practices. Eventually, it will be able to track ‘at-risk’ cohorts. Initial focus is on frail elderly groups and alcohol related attendance.