One of the most powerful applications of Big Data is Predictive Analytics. By applying statistical algorithms to historical data, healthcare providers can forecast future events.

For instance, machine learning models can analyze a patient’s historical vitals and lab trends to predict the likelihood of Sepsis hours before clinical symptoms appear, allowing for early intervention.

In the context of chronic disease, Big Data helps identify "at-risk" individuals within a population. By cross-referencing demographic data with lifestyle factors and genetic markers, health systems can flag patients prone to Type 2 Diabetes or Cardiovascular disease, enrolling them in preventative programs before a crisis occurs.