Healthcare Predictive Analytics and Risk Stratification

The healthcare industry continues to adopt a more proactive approach toward patient engagement through a continuum care model that focuses on the delivery of patient-centered medicine. Healthcare predictive analytics play an important role in preparing providers for this new model. Many organizations that lack the resources to implement clinical analytics can utilize solutions that lead to better risk-stratified care management. Risk stratification is a relatively new term for what physicians have been doing for years: identifying high-risk patients and making sure they get what they need when they need it.

The Importance of Risk-Stratification

Healthcare predictive analytics involves identifying patients at risk of developing a target illness or condition to enable the most effective interventions. This includes factors such as level of risk, criteria, and limitations. A risk score can be assigned to each patient, which can be recorded in EHR or electronic health record system or database. For the most part, evidence-based metrics healthcare and risk stratification are planned and proactive processes that can be developed and deployed in a practice to plan for patient’s needs and care. The objective is to develop and define roles and responsibilities with a proactive approach to care and management of varied patient populations.