Applied data linkage

Hypothesis: Novel uses of existing NHS databases available across acute and community care in West London and the PHE will enhance surveillance capability of HCAI and help develop predictive models to identify risk and develop syndromic surveillance. Surveillance, when patient and organism data are linked, can provide further insights into AMR development and acquisition.

Projects are designed to maximise the opportunities for health protection, offered by enhanced linkage of existing NHS and other data to improve surveillance and modelling. By harnessing, exploiting and developing this data linkage in its application to AMR and HCAIs across healthcare, we will build on our shared existing expertise and experience in this field while also linking, with other areas of healthcare research such as clinical outcomes, patient safety and quality indicators. We will strengthen the current use of large datasets, interventional epidemiology and successful networks and collaborations.

2 column general content block - Applied data linkage

Professor Paul Aylin

Professor Paul Aylin

Clinical Reader in Epidemiology and the Assistant Director of the Dr Foster Unit at Imperial College London. Professor Aylin leads the development of indicators around safety and performance in the UK.

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Professor Allan Johnson

Professor Susan Hopkins

Healthcare Epidemiologist, Public Health England. Professor Hopkins' main research interests are healthcare associated infections, antimicrobial stewardship and bone and joint infections.

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Theme members