The goal of this prospective cohort device study is to assess clinical usage and impact, diagnostic performance, and prognostic performance of the Sepsis ImmunoScore.
Study Type
OBSERVATIONAL
Enrollment
5,000
The Sepsis ImmunoScore is a risk stratification tool that uses Artificial Intelligence/Machine Learning to aid in the identification of patients likely to have or progress to sepsis within 24 hours of assessment.
Sepsis diagnosis
meeting sepsis-3 criteria within 24 hours of Sepsis ImmunoScore order
Time frame: 24 hours
SEP-1 bundle compliance
proportion of patients meeting SEP-1 bundle criteria for whom all bundle components are delivered within the required time frame
Time frame: through study completion, an average of 1 year
Number of clinically significant events such as infection, sepsis, critical care interventions, escalation of care, mortality
(e.g., vasopressor support, renal replacement therapy, non-invasive or invasive respiratory ventilation)
Time frame: through study completion, an average of 1 year
Time to antibiotic administration
Time frame: through study completion, an average of 1 year
Coding compliance including appropriate clinical documentation to justify a diagnosis of sepsis
Time frame: through study completion, an average of 1 year
Hospital length of stay
Time frame: through study completion, an average of 1 year
ICU length of stay
Time frame: through study completion, an average of 1 year
Total charges
Time frame: through study completion, an average of 1 year
In-hospital mortality rate
28-day in-hospital mortality rate defined as the proportion of patients with a discharge disposition of "died" prior to 28 days
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: through study completion, an average of 1 year