Designing and testing computer based screening engine for severe sepsis/septic shock

AMIA Annu Symp Proc. 2008 Nov 6:966.

Abstract

This study addresses the role of a sepsis "sniffer", an automatic screening tool for the timely identification of patients with severe sepsis/septic shock, based electronic medical records. During the two months prospective implementation in a medical intensive care unit, 37 of 320 consecutive patients developed severe sepsis/septic shock. The sniffer demonstrated a sensitivity of 48% and specificity of 86%, and positive predictive value 32%. Further improvements are needed prior to the implementation of sepsis sniffer in clinical practice and research.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms
  • Artificial Intelligence
  • Critical Care / methods*
  • Decision Support Systems, Clinical / organization & administration*
  • Diagnosis, Computer-Assisted
  • Humans
  • Information Storage and Retrieval / methods
  • Mass Screening / methods
  • Medical Records Systems, Computerized / statistics & numerical data*
  • Minnesota
  • Natural Language Processing*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sepsis / classification*
  • Sepsis / diagnosis*
  • Software Design
  • Software*
  • Terminology as Topic