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Smart Systems, Saved Lives: Using AI to Identify Deteriorating Sepsis Patients in Adult Critical Care
Amanda R Smith1, Jennifer Manning2
1Undergraduate Nursing, Louisiana State University Health New Orleans School of Nursing, New Orleans, LA, USA.
Critical Care Nursing Clinics of North America
|July 24, 2026
Summary
Sepsis is a major cause of death in critical care. Early warning systems like MEWS, NEWS2, and qSOFA help clinicians recognize patient deterioration and sepsis promptly.
Area of Science:
- Critical care medicine
- Infectious diseases
- Physiology
Background:
- Sepsis is a leading cause of mortality in adult critical care, characterized by a dysregulated host response to infection.
- Despite therapeutic advances, sepsis causes over 31 million deaths annually.
- The unpredictable nature of sepsis necessitates early recognition and intervention for improved patient outcomes.
Purpose of the Study:
- To highlight the importance of early recognition and intervention in sepsis management.
- To review the role of early warning systems in identifying patient deterioration and sepsis.
Main Methods:
- Review of existing literature on sepsis and early warning systems.
- Discussion of commonly used bedside tools for assessing adult patient deterioration.
Main Results:
- Early warning systems are crucial for standardizing the recognition of physiologic instability.
- The Modified Early Warning Score (MEWS), National Early Warning Score 2 (NEWS2), and Quick Sequential Organ Failure Assessment (qSOFA) are frequently utilized.
Conclusions:
- Timely intervention guided by early warning systems is critical for improving sepsis outcomes.
- Standardized tools aid in the prompt identification of patients with sepsis and deterioration.
