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

Vitaly D Herasevich, B. Afessa, C. G. Chute, Ognjen Gajic

Research output: Contribution to journalArticle

13 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)966
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008

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Septic Shock
Sepsis
Electronic Health Records
Intensive Care Units
Sensitivity and Specificity
Research

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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