PS2-16: Surveillance for Anterior Cruciate Ligament Surgical Site Infections Using Claims Data

Background/Aims The infectious risk of human tissue allografts is unknown. Healthcare claims data from large populations may be useful for quantifying and monitoring rates of infection after tissue allograft transplantation, but require accurate algorithms to identify allograft implantations and infections. We explored the feasibility of identifying allograft implantations and infections using claims data.