Rule base system for identification of patients with specific critical care syndromes: The "sniffer" for acute lung injury.

V. Herasevich, M. Yilmaz, H. Khan, C. G. Chute, O. Gajic

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Early detection of specific critical care syndromes, such as sepsis or acute lung injury (ALI)is essential for timely implementation of evidence based therapies. Using a near-real time copy of the electronic medical records ("ICU data mart") we developed and validated custom electronic alert (ALI"sniffer") in a cohort of 485 critically ill medical patients. Compared with the gold standard of prospective screening, ALI "sniffer" demonstrated good sensitivity, 93% (95% CI 90 to 95) and specificity, 90% (95% CI 87 to 92). It is not known if the bedside implementation of ALI "sniffer" will improve the adherence to evidence-based therapies and outcome of patients with ALI.

Original languageEnglish (US)
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2007

ASJC Scopus subject areas

  • Medicine(all)

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