The vendor, formerly the health business of Thomson Reuters, built the model with Emory University. Using organization-specific demographic, health risk, and program impact data along with data from peer reviewed studies, it is designed to show the relationship between health risk and cost, and predict saving in 10 wellness programs to modify risk. They include high blood glucose, obesity, physical inactivity, depression, poor nutrition or eating habits, tobacco use, high total cholesterol, high stress, high blood pressure and high alcohol use.
The model uses prospective and retrospective estimates to calculate ROI of a wellness program.
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