Thought of the Day: Using Consumer Data for Predicting Health

February 23 18:20 2018 Print This Article

Companies collect data from individuals regularly and are finding more and more ways to use this information. In one example, the insurer Aviva worked with the consulting firm Deloitte to predict health risks for 60,000 insurance applicants using consumer data purchased from a data broker. The predicted risks included diabetes, cancer and high blood pressure, and it is interesting to note this purchased data would traditionally be used for marketing purposes. Consumer data has also been used to predict the hospital costs of patients for a large US healthcare company.

Health-related predictions are known to have been made using a wide range of data including genomics, medical records, mobile health data and consumer behavior. LexixNexis Risk Solutions even offers a health scoring product that calculates health risks and expected healthcare costs based on consumer data.

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GDPR Associates
GDPR Associates

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