SEPSI Score ©
PREVIA MEDICAL has developed a digital biomarker, SEPSI Score ©, which provides an early warning of sepsis up to 48 hours before the first symptoms appear.


The sepsis
Sepsis is a generalised inflammatory response associated with infection. If it occurs after an invasive procedure, it is known as a nosocomial infection. Sepsis can be caused by bacteria or certain viruses (SARS-Cov2, H1N1 influenza, etc.).
Sepsis is currently responsible for 60,000 deaths a year in France and 1 in 5 deaths worldwide. Each hour's delay in diagnosis reduces the patient's chances of survival by 7%.
With a 30-day mortality rate of 20-30%*, sepsis is one of the leading causes of death in hospitals worldwide.
A precise algorithm and real-time alerts can significantly reduce the length of stay and mortality rate.
Construction of Digital Biomarkers
Digital biomarkers make it possible to collect precise, real-time information about an individual’s state of health. This data is then transmitted and processed electronically, enabling continuous health monitoring, early detection of changes and prediction of health problems.
Objective of the digital biomarker
Data collection
Data pre-processing
Selecting features
Model drive
Biomarker performance
Clinical validation
Training and validation of our algorithm
Data analysed
Stays
Sepsis
Stays
Sepsis
SEPSI Score © performance
84% of patients with sepsis are detected on average 48 hours before the first symptoms appear
Publication Scientific article
The SEPSI Score was developed and validated in collaboration with a hospital centre over the course of a 22-month retrospective study. This R&D work led to the publication of an article in the journal Diagnostics in January 2025 (Impact Factor 3.0), entitled ‘Development and Validation of a Machine Learning Model for Early Prediction of Sepsis Onset in Hospital Inpatients from All Departments’.
The study validated our model with a positive predictive value of 0.610, significantly outperforming early warning scores such as SIRS, MEWS and qSOFA. In addition, the model demonstrated high sensitivity and specificity (0.845 and 0.987 respectively), making it possible to accurately predict the risk of developing sepsis up to 48 hours before the first clinical signs.
SEPSI Score ©
Integrated into the hospital’s business software, SEPSI Score © predicts the risk of developing sepsis up to 48 hours before the first clinical signs appear and alerts healthcare professionals, who can start treatment earlier to increase patients’ chances of survival.

Detects up to 48 hours before the first symptoms appear

Alerting healthcare professionals

Risk score calculated every hour

Dashboard populated with all analysis results
The PREVIA © platform
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