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Table 2 Prediction of risk for nosocomial infection

From: CDSS-RM: a clinical decision support system reference model

Day of Hospital Stay and Data availability Use of models built in vitro with “Day 2” variables Dynamic training & testing
Day 0: Demographics, admission diagnosis High reported precision & recall is not realistic: Risky decisions, potential negative impact on patient safety Precision and recall ~  70% are realistic: Use predictions with a lot of caution
Day 1: Demographics, admission diagnosis, medications, lab results High in vitro reported precision & recall is not realistic: Risky clinical decisions, negative impact on patient safety Precision and recall ~  80% are realistic: Use predictions with some caution
Day 2: Demographics, admission diagnosis, medications, more lab results, primary diagnosis High in vitro reported precision & recall is realistic Precision & recall ~  85% are realistic