Literature DB >> 24970280

Identifying severe sepsis via electronic surveillance.

Bristol N Brandt1, Amanda B Gartner2, Michael Moncure1, Chad M Cannon1, Elizabeth Carlton2, Carol Cleek2, Chris Wittkopp2, Steven Q Simpson3.   

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.
© The Author(s) 2014.

Entities:  

Keywords:  electronic medical record; electronic surveillance; quality improvement; sepsis

Mesh:

Substances:

Year:  2014        PMID: 24970280     DOI: 10.1177/1062860614541291

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  14 in total

1.  Validation of Test Performance and Clinical Time Zero for an Electronic Health Record Embedded Severe Sepsis Alert.

Authors:  Joshua Rolnick; N Lance Downing; John Shepard; Weihan Chu; Julia Tam; Alexander Wessels; Ron Li; Brian Dietrich; Michael Rudy; Leon Castaneda; Lisa Shieh
Journal:  Appl Clin Inform       Date:  2016-06-22       Impact factor: 2.342

2.  Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Authors:  Jennifer C Ginestra; Heather M Giannini; William D Schweickert; Laurie Meadows; Michael J Lynch; Kimberly Pavan; Corey J Chivers; Michael Draugelis; Patrick J Donnelly; Barry D Fuchs; Craig A Umscheid
Journal:  Crit Care Med       Date:  2019-11       Impact factor: 7.598

3.  The Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network.

Authors:  Cody Benthin; Sonal Pannu; Akram Khan; Michelle Gong
Journal:  Ann Am Thorac Soc       Date:  2016-10

4.  Time to Recognition of Sepsis in the Emergency Department Using Electronic Health Record Data: A Comparative Analysis of Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment, and Quick Sequential Organ Failure Assessment.

Authors:  Priya A Prasad; Margaret C Fang; Yumiko Abe-Jones; Carolyn S Calfee; Michael A Matthay; Kirsten N Kangelaris
Journal:  Crit Care Med       Date:  2020-02       Impact factor: 7.598

5.  Increased Time to Initial Antimicrobial Administration Is Associated With Progression to Septic Shock in Severe Sepsis Patients.

Authors:  Bristol B Whiles; Amanda S Deis; Steven Q Simpson
Journal:  Crit Care Med       Date:  2017-04       Impact factor: 7.598

Review 6.  Identifying Patients With Sepsis on the Hospital Wards.

Authors:  Poushali Bhattacharjee; Dana P Edelson; Matthew M Churpek
Journal:  Chest       Date:  2016-07-01       Impact factor: 9.410

7.  Delay Within the 3-Hour Surviving Sepsis Campaign Guideline on Mortality for Patients With Severe Sepsis and Septic Shock.

Authors:  Lisiane Pruinelli; Bonnie L Westra; Pranjul Yadav; Alexander Hoff; Michael Steinbach; Vipin Kumar; Connie W Delaney; Gyorgy Simon
Journal:  Crit Care Med       Date:  2018-04       Impact factor: 9.296

8.  A two-stage clinical decision support system for early recognition and stratification of patients with sepsis: an observational cohort study.

Authors:  Robert C Amland; Jason J Lyons; Tracy L Greene; James M Haley
Journal:  JRSM Open       Date:  2015-10-08

9.  Sepsis surveillance: an examination of parameter sensitivity and alert reliability.

Authors:  Robert C Amland; Mark Burghart; J Marc Overhage
Journal:  JAMIA Open       Date:  2019-06-11

10.  The Effect of the Intelligent Sepsis Management System on Outcomes among Patients with Sepsis and Septic Shock Diagnosed According to the Sepsis-3 Definition in the Emergency Department.

Authors:  Juhyun Song; Hanjin Cho; Dae Won Park; Sejoong Ahn; Joo Yeong Kim; Hyeri Seok; Jonghak Park; Sungwoo Moon
Journal:  J Clin Med       Date:  2019-10-27       Impact factor: 4.241

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