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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedTourani R, Murphree DH, Melton-Meaux G
The value of aggregated high-resolution intraoperative data for predicting post-surgical infectious complications at two independent sites.
Surgical procedures carry the risk of postoperative infectious complications, which can be severe, expensive, and morbid. A growing body of evidence indicates that high-resolution intraoperative data can be predictive of these complications. However, these studies are often contradictory in their findings. In this work, data and models from two independent institutions, Mayo Clinic and University of Minnesota-affiliated Fairview Health Services, were directly compared using a common set of definitions for the variables and outcomes.
AHRQ-funded; HS024532.
Citation: Tourani R, Murphree DH, Melton-Meaux G .
The value of aggregated high-resolution intraoperative data for predicting post-surgical infectious complications at two independent sites.
Stud Health Technol Inform 2019 Aug 21;264:398-402. doi: 10.3233/shti190251..
Keywords: Surgery, Adverse Events, Risk, Infectious Diseases, Healthcare-Associated Infections (HAIs)