AI cuts high risk ED reattendance by up to 50%

AI predictive analysis has helped cut ED reattendance by high risk patients by between 33% and 50%.

(c) Tameside & Glossop Integrated Care NHS Foundation Trust

(c) Tameside & Glossop Integrated Care NHS Foundation Trust

The new computational model introduced by Tameside & Glossop Integrated Care NHS Foundation Trust can predict which patients are most likely to reattend the emergency department within the next month, allowing clinical teams to intervene sooner with community-based care.

‘The tool allows us to predict emergency department reattendance, rather than simply providing a retrospective analysis,' said operational intelligence lead Liam Brierley.

‘Our ambition is ultimately to change how we anticipate patient need, moving from reactive care to intelligent, preventative intervention.

‘This project is strong example of how we can take advantage of new, advanced technologies like AI for the benefit of both our patients and staff. The AI tool doesn't replace clinical judgement but rather empowers clinicians with the insight they need to deliver high-quality care before a crisis occurs.'

Once patients at high risk of reattendance have been flagged, multidisciplinary teams made up of staff from the trust and other health and social care organisations come together to discuss each patient's individual needs.

They then co-ordinate personalised, follow-up care in the community to proactively address health issues before they escalate into an emergency.

The AI tool continuously monitors these patients to check that the necessary actions have been completed and that the correct care has been provided.

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