Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping...

Area of Science:

• Medical Informatics
• Clinical Medicine
• Public Health

Background:

• Sepsis is a major global health challenge, causing significant morbidity and mortality.
• Early sepsis detection and treatment are critical for improving patient outcomes.
• Hospitals increasingly utilize computerized clinical decision support (CCDS) systems for rapid sepsis identification in adults.

Purpose of the Study:

• To systematically describe studies on the use and evaluation of CCDS systems for early sepsis detection in adult inpatients.
• To provide a comprehensive overview of the current literature in this rapidly evolving field.

Main Methods:

• A scoping review protocol was published prior to the review.
• Searched 10 electronic databases and grey literature for studies on sepsis and CCDS.
• Included title, abstract, and full-text screening by two independent reviewers, with data charting and verification.

Main Results:

• 124 studies were included, with the majority published after 2009.
• Patient outcomes (86.3%) and sepsis treatment/management (60.5%) were most frequently reported outcomes.
• Systemic inflammatory response syndrome criteria were commonly used for sepsis identification, and over half of CCDS systems were implemented with other interventions.

Conclusions:

• The literature on CCDS for sepsis detection is highly diverse, with considerable variation in study design and outcomes.
• Further research is needed to address CCDS system usability, cost-effectiveness, and impact on sepsis morbidity.