The qualitative value of Risk Stratification is dependent on the depth, breadth and context of the data being analyzed. It is also dependent upon the methodologies and technologies being applied. The exercise of Risk Stratification can be prosecuted at many different levels with varying degrees of accuracy, precision, persistence and value.
At EagleForce Health, we provide our customers with a comprehensive stratification of risk by applying our patented Predictive Analytics Markup Language™ (PAML) to structured, semi-structured and unstructured data. This data can include clinical, financial, behavioral and environmental elements aggregated from disparate systems before our evidence-based algorithms, statistics, rules, ontology’s and machine-learning methodologies are applied. Insights provided through this approach have demonstrated to be more accurate, precise and predictable.