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AMIA Annu Symp Proc · Jan 2008
Designing and testing computer based screening engine for severe sepsis/septic shock.
- V Herasevich, B Afessa, C G Chute, and O Gajic.
- Mayo Clinic, Rochester, MN, USA.
- AMIA Annu Symp Proc. 2008 Jan 1:966.
AbstractThis 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.
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