Presented by Dr Samuel Relton
See details of the this months speaker below and complete the details in the form by Tuesday 25th March to register if you would like a lunch provided.
The electronic frailty index has been a hugely successful tool, helping GPs across the UK to care for frail patients. Recently the eFI+ was released through EMIS and TPP, giving predictions of four key patient outcomes to help guide treatment plans. In particular, the model to predict serious falls has attracted attention from ICBs across the UK and is being used for population health management to deliver preventative care. We will talk about how the unique data within Connected Bradford was key to the successful delivery of this project, and give everyone a sneak-peek of other projects that we’re just starting now that arose from the eFI+ work.
Sam is an Associate Professor in Health Data Science at the University of Leeds, with particular expertise in applying statistics and machine learning to electronic healthcare records, with a few projects in medical imaging. His background is in mathematics, but has been working in health for 9 years with a current portfolio of over £7M in funding from the NIHR. His work cuts across multiple clinical areas, but is focused around complex multimorbidity and using temporal information to help deliver the best possible care.
