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Populations

Oxford University Lead: Sarah Walker

PHE co-lead: Susan Hopkins

We would like to better understand who is affected by antimicrobial resistance and healthcare-associated infections, and why, including the impact of inequalities and aging, and how we can monitor these conditions. Our strategy is to exploit large-scale linked electronic health record (EHR) data from multiple sources to answer the following key questions:

  • How can routine surveillance be automated optimally?
  • What populations are at greatest risk of different healthcare associated infections (HAI) and antimicrobial resistance (AMR)?

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By automating surveillance using EHR we hope to improve the monitoring and management of infectious diseases, reduce the burden of data collection in the NHS and better predict future trends in antimicrobial usage, HAI and AMR.