SepSense: Improving Prediction of Sepsis in Community Settings

Sepsis, the uncontrolled response to infection, is among the most prevalent mortality drivers, causing 1 in 5 of all deaths worldwide. Intervening early significantly improves survival, motivating the development of electronic health record (EHR)-based sepsis prediction algorithms. However, these are ineffective for the 80% of cases classified as community-acquired, beginning outside the hospital. SepSense aims to develop a predictive algorithm to accurately assess patients’ likelihood of developing sepsis from community-acquired infections and recommend interventions.

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