With the new emphasis on population health and accountable care has come increasing interest in the possibility that health care outcomes can be predicted and those most likely to become sick identified and offered prophylactic care. The goal of predictive modeling is to target interventions toward this high-risk population to meet the Triple Aim of improving access, improving quality, and applying efficacious use of care.
Download this white paper for a discussion of:
- 3 challenges facing predictive models
- Recent successes
- How to move from risk-prediction to risk-prevention
- The unique contribution of Relias Analytics