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Three of the Costliest Health Conditions Ravaging Your Health Plan, and Steps for Prevention

High-cost claimants are only a part of the equation. There is a secondary subset of the insured population who are at-risk of entering the 5-7% of highest cost claimants that predictive modeling can uncover and help address. Not all predictive modeling engines have the capability to identify this subset of the employee population, but with Advanced Plan for Health’s Poindexter’s predictive modeling capabilities, determining the likelihood of an occurrence of coronary events, neurological events, orthopedic events and chronic kidney disease is made easy. Once interventions are made to improve the health of at-risk patients, the analytics system can retrospectively report actual cost versus the original predictive model to measure the positive health and financial effects the interventions created. Without the predictive-modelling enabled ability to identify those at-risk and intervene with targeted prevention strategies, health plan optimization will always be an uphill battle. 

Tags: Population Health, Health Plan, Chronic Conditions, Plan Costs, Employee Population, High-Cost Claimants, Diseases, Diabetes, Cardiovascular Disease, Pulmonary Heart Disease, Primary Care Physician, Healthcare, Wellness Managers, Health Outcomes, Wellness Program, Predictive Modeling, Data Analytics, Case Managers, Care Managers, Improve Outcomes, Lower Costs, Poindexter, Analytic Engine, Bottom-Line, Treatment Plan

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