Real-time monitoring
Continuously evaluates relevant clinical inputs for emerging patterns associated with sepsis risk.

SepsiTrack® is an AI sepsis prediction and early-warning platform under development, bringing real-time, explainable risk intelligence into acute-care workflows to support earlier recognition and timely review.
SepsiTrack is designed to combine relevant vitals, laboratory results, symptoms and history into a continuously updated risk view—giving clinicians a focused signal to investigate.
The product is being developed for frontline workflows, where clarity, explainability and alert discipline are as important as model performance.
Continuously evaluates relevant clinical inputs for emerging patterns associated with sepsis risk.
Presents an evolving risk score intended to support earlier clinical assessment.
Surfaces the contributing context behind an alert so teams can evaluate it.
Designed for emergency and acute-care workflows, including mobile-ready views.
Thresholds and workflows can be adapted to local data, guidelines and governance.
Built to connect with hospital data and established clinical systems.
Healthigence and Sir Charles Gairdner Hospital have collaborated on AI-driven sepsis prediction research, including a pilot study published in BMJ Health & Care Informatics and a funded emergency-department project.
Potential deployments can integrate with existing hospital systems and present risk information through configured dashboards, alerts and mobile experiences.