EDEN Team, Leicester Diabetes Centre: Artificial Intelligence in Diabetes Healthcare Professional Education

With one of the highest prevalence rates in the UK at around 8 per cent, diabetes education for Leicester’s doctors and nurses is critical.

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Failure to meet practices’ training needs means variable levels of care for patients, and can lead to more hospital admissions, complications and specialist care referrals. The team uses artificial intelligence algorithms to analyse training needs assessments and make individual training recommendations to thousands of HCPs while monitoring uptake saving hours of DSN time analysing records.

The judges were impressed with the use of big data to provide real time training needs analysis, focused on the specific needs of individual populations of patients. The approach really supported value in the delivery of training by identifying specific learning needs.

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Finalists
Birmingham Children’s Hospital
Four Seasons Health Care
Homerton University Hospital, Locomotor Extended Scope Physiotherapy Department
Leeds Teaching Hospitals Trust
NHS Education for Scotland
NHS Sandwell and West Midlands Clinical Commissioning Group
Royal Liverpool & Broadgreen University Hospitals Trust
St. Helens and Knowsley Hospitals Trust
The Pennine Acute Hospitals Trust
Wirral University Teaching Hospital Foundation Trust

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