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AI Use Case

Identify risk of hospital acquired infections such as sepsis

Reduce hospital-acquired infections (e.g. pneumonia, sepsis, urinary tract infection and surgical site infection) by identifying risk and suggesting appropriate responses.



Risk reduction - Patient outcomes,Risk reduction - Mortality rate,Operational Support - Demand forecasting

Case Studies

St. Michael’s Hospital (University of Toronto)~St. Michael’s Hospital predicts onset of sepsis among ICU patients with 90% accuracy using learning evolutionary algorithm framework

Potential Vendors

Sentient Machines



Healthcare Providers And Services

Data Sets

Structured / Semi-structured,Time series

AI Technologies

ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression,Machine Learning (ML)

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