Identifying severe sepsis via electronic surveillance.

نویسندگان

  • Bristol N Brandt
  • Amanda B Gartner
  • Michael Moncure
  • Chad M Cannon
  • Elizabeth Carlton
  • Carol Cleek
  • Chris Wittkopp
  • Steven Q Simpson
چکیده

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.

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عنوان ژورنال:
  • American journal of medical quality : the official journal of the American College of Medical Quality

دوره 30 6  شماره 

صفحات  -

تاریخ انتشار 2015