Smart Systems, Saved Lives: Using AI to Identify Deteriorating Sepsis Patients in Adult Critical Care

Authors

• Amanda R. Smith, LSU Health Sciences Center - New OrleansFollow
• Jennifer Manning, LSU Health Sciences Center - New OrleansFollow

Document Type

Article

Publication Date

6-24-2026

Publication Title

Critical Care Nursing Clinics of North America

Abstract

Sepsis remains one of the leading causes of mortality in adult critical care, representing a dysregulated host response to infection. Despite advances in therapeutics and supportive care, it continues to account for over 31 million deaths annually. Its unpredictable trajectory and variable physiologic presentations make early recognition and timely intervention crucial to improving outcomes. Early warning systems were initially developed to standardize the recognition of physiologic instability and guide early recognition. The Modified Early Warning Score, National Early Warning Score 2, and Quick Sequential Organ Failure Assessment remain the most frequently used bedside tools for adult deterioration and sepsis.

First Page

417

Last Page

424

PubMed ID

42498339

Volume

38

Issue

3

Comments

Featured in Faculty Publications Display; September 2026

Rights

© 2026 Elsevier Inc.

Recommended Citation

Smith, Amanda R. and Manning, Jennifer, "Smart Systems, Saved Lives: Using AI to Identify Deteriorating Sepsis Patients in Adult Critical Care" (2026). School of Nursing Faculty Publications. 131.
https://digitalscholar.lsuhsc.edu/son_facpubs/131
10.1016/j.cnc.2026.04.010