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Am J Med Qual. 2015 Nov-Dec;30(6):559-65. doi: 10.1177/1062860614541291. Epub 2014 Jun 26.

Identifying severe sepsis via electronic surveillance.

Author information

1
University of Kansas School of Medicine, Kansas City, KS.
2
The University of Kansas Hospital, Kansas City, KS.
3
University of Kansas School of Medicine, Kansas City, KS ssimpson3@kumc.edu.

Abstract

An electronic sepsis surveillance system (ESSV) was developed to identify severe sepsis and determine its time of onset. ESSV sensitivity and specificity were evaluated during an 11-day prospective pilot and a 30-day retrospective trial. ESSV diagnostic alerts were compared with care team diagnoses and with administrative records, using expert adjudication as the standard for comparison. ESSV was 100% sensitive for detecting severe sepsis but only 62.0% specific. During the pilot, the software identified 477 patients, compared with 18 by adjudication. In the 30-day trial, adjudication identified 164 severe sepsis patients, whereas ESSV detected 996. ESSV was more sensitive but less specific than care team or administrative data. ESSV-identified time of severe sepsis onset was a median of 0.00 hours later than adjudication (interquartile range = 0.05). The system can be a useful tool when implemented appropriately but lacks specificity, largely because of its reliance on discreet data fields.

KEYWORDS:

electronic medical record; electronic surveillance; quality improvement; sepsis

PMID:
24970280
DOI:
10.1177/1062860614541291
[Indexed for MEDLINE]

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