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InSight is a machine-learning based algorithm that requires only vital sign data to predict the onset of sepsis several hours in advance. Compatible with all major EHR systems, InSight seamlessly integrates in hospitals, improving patient outcomes and reducing overall treatment costs.

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AutoTriage predicts decompensation by focusing on underlying homeostatic stability and the multi-organ coevolution of a patient. AutoTriage provides sound discharge recommendations, helps reduce readmissions, and allows physicians to recognize high risk patients.

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Previse_Logo

This novel clinical algorithm can accurately predict acute kidney injury a full day in advance, allowing for timely treatment of patients and better patient outcomes. Previse has also been shown to be more effective than commonly used scoring systems such as SOFA.

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