Improving outcomes after surgery using novel outlier prediction methods within the National Joint Registry

Led by Professor Ashley Blom

Investigation of factors that determine outcomes of joint replacement is primarily based on the National Joint Registry. This is the largest arthroplasty registry in the world, with data from more than two million individuals, and a unique platform for identifying associations and generating hypotheses for improving care.

We will:

  • develop methods to identify surgeon and unit innovators and outliers (good and bad)
  • develop methods that enable registries to assess safety of new technologies and surgical techniques in a more generalizable, cost-effective and timely manner