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Socioeconomic data can radically improve your ability to predict health risks Find hidden health risks from non-clinical data. Download our latest brief. In 2014, 75 percent of Americans reported experiencing at least one symptom of stress in the past month.2 Environmental events that put stress on individuals are often tied to worsening clinical conditions and behaviors. Medical and pharmacy data alone does not capture this impact. LexisNexis® Population Health Monitor now features a unique risk model within its population-risk stratification methodology that incorporates socioeconomic factors that help better identify members with higher health risks resulting from stress indicators. The Stress Index leverages MEDai Science and public records data for deeper insight into potential future increases of ER visits, readmissions, clinical costs and more. Download our latest brief: The Value of Socioeconomic Data within Population Risk Stratification to learn how stress is defined and how accounting for it in risk predictions can strengthen your outcomes. Sincerely, Kim Eifrid Sr. Solutions Executive Clinical Analytics Featured Resource Brief: The Value of Socioeconomic Data within Population Risk Stratification

1 Source: The Effects of Stress, WebMD. 2 Source: Stress in America, Paying with our Health. American Psychological Association. February 4, 2015.

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