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Updated: May 7, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

Developing an early sepsis alert program.

Kristen M Buck¹

¹Quality Department, Spectrum Health Hospitals, Grand Rapids, Michigan.

Journal of Nursing Care Quality

|September 20, 2013

Summary

This summary is machine-generated.

A computer-assisted sepsis alert system moderately improves early identification and treatment for severe sepsis and septic shock. This system positively impacts patient care, with ongoing modifications to enhance its effectiveness in healthcare settings.

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Last Updated: May 7, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis

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Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Published on: December 9, 2022

Area of Science:

Critical care medicine
Health informatics
Clinical decision support systems

Background:

Severe sepsis and septic shock represent significant global health challenges.
Early detection and intervention are crucial for improving patient outcomes.

Purpose of the Study:

To describe the implementation and impact of a computer-assisted sepsis alert system.
To evaluate the system's effectiveness in identifying deteriorating patients.

Main Methods:

Development and implementation of a computer-assisted sepsis alert system in a Midwestern healthcare system.
Ongoing monitoring and modification of the alert system based on performance and clinical experience.

Main Results:

The system demonstrated moderate success in identifying patients with declining conditions.
The sepsis alert system had a positive overall effect on patient care.

Conclusions:

Computer-assisted alert systems can aid in the early identification and management of sepsis.
Continuous program refinement is essential for optimizing the performance of sepsis alert systems.