Globally, cardiovascular disease is one of the leading causes of morbidity and mortality. In addition, it is estimated that 25% of heart attacks are recurrent events that occur after a first episode. Identifying individuals who are at risk of a repeat event can help delay or prevent the subsequent event. Real power lies in quantifying this risk based on an individual’s unique characteristics, and providing a personalised program to manage that risk and avert further adverse events.

Semper Centrum does just this. At the heart of Semper Centrum’s solution is Semper CuriosityTM, a cloud-based SaaS platform to collect comprehensive, outcome-based, longitudinal patient data. This high-quality data is analysed using advanced Machine Learning algorithms to create risk prediction models and a Clinical Intelligence Platform. Semper’s Cardiac Digital Therapeutic app for patients applies these models and provides personalised and precise care to help manage risk and improve outcomes.

Our system thereby utilises population-level risk prediction models with patient-level behaviors and conditions to provide optimum personalised care.