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  1. An evaluation of expert human and automated abbreviated injury scale and ICD-9-CM injury coding.

    Article - En anglais

    Two hundred ninety-five injury descriptions from 135 consecutive patients treated at a level-1 trauma center were coded by three human coders (H1, H2, H3) and by TRI-CODE (T), a PC-based artificial intelligence software program.

    Two study coders are nationally recognized experts who teach AIS coding for its developers (the Association for the Advancement of Automotive Medicine); the third has 5 years experience in ICD and AIS coding.

    A « correct coding » (CC) was established for the study injury descriptions.

    Coding results were obtained for each coder relative to the CC.

    The correct ICD codes were selected in 96% of cases for H2, 92% for H1, 91% for T, and 86% for H3.

    Mots-clés Pascal : Traumatisme, Homme, Indice gravité, Codage, Opérateur humain, Expert, Assistance ordinateur, Intelligence artificielle, Logiciel, Etude comparative, Précision

    Mots-clés Pascal anglais : Trauma, Human, Severity score, Coding, Human operator, Expert, Computer aid, Artificial intelligence, Software, Comparative study, Accuracy

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 94-0445340

    Code Inist : 002B16N. Création : 199406.