Predictive Analytics in Healthcare

The importance of predictive modelling in health care maybe seen in emergency care, surgery, and intensive care, where a patient's outcome is directly tied to the care provider's rapid reaction and acute decision making when or if the situation takes an unanticipated turn for the worse. However, not all predictive analytics in health care necessitate the deployment of an experienced team.

Predictive health analytics systems that can identify patients with traits that indicate a high chance of readmission can help health care practitioners choose whether to focus resources on follow-up and how to build individualized health care regimens to reduce hospital re admissions.