Injury severity scoring: Its definition and practical application

Turner M. Osler, Stas Amato, Stephen Ranney, Jamie Benson, Alan Cook, David Hosmer, Laurent G. Glance, Edward J. Bedrick

Research output: Chapter in Book/Report/Conference proceedingChapter


An accurate prediction of outcomes following injury is an important aspect of triage and clinical management of injured patients. Beyond clinical care, outcome prediction is essential for trauma system monitoring, resource allocation, quality improvement, and research. Injury severity scores attempt to predict outcomes by reducing the myriad complexities of a clinical situation to a single number. This chapter provides an overview of the most widely used injury severity scores, statistical considerations, and potential approaches to better predictions.

Original languageEnglish (US)
Title of host publicationCurrent Therapy of Trauma and Surgical Critical Care
ISBN (Electronic)9780323697873
StatePublished - Jan 1 2023
Externally publishedYes


  • machine learning
  • outcome prediction
  • predictive value of tests
  • receiver operating characteristic (ROC) curve
  • risk assessment
  • statistical models
  • trauma severity indices

ASJC Scopus subject areas

  • General Medicine


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