• AI for Healthcare

    Modeling Risk Use-cases at Hospitals


Clinical, Accurate & Secure.

Build and integrate with well known Electronic Health Record Systems.

Sepsis Prediction

Sepsis is the body’s overwhelming and life-threatening response to infection that can lead to tissue damage, organ failure, and death. Some people are at higher risk of developing sepsis because of higher risk of contracting an infection.

Our SepsisPred algorithm not only provides highly accurate predictive risk scores for patients but also highlights leading factors for such diagnosis.

Readmission Prediction

One of the key indicators of the quality of a hospital’s care is how frequently its patients are readmitted within a month after being discharged. Studies show that federal government’s readmission penalties on hospitals will reach a new high as Medicare withholds more than half a billion dollars in payments each year.

Our ReadmitPred algorithm can help identify patients at risk for several conditions and raise alerts for planning interventions and avoid penalties.

Patient Analytics

Predictive analytics can help physicians make more accurate diagnoses. When patients come to the ER with chest pain, it is often difficult to know whether the patient should be hospitalized or sent home.

Cure patients at a faster pace than ever before !

At a fraction of the cost !