Using Behavioral Nudges to Treat Diabetes

Health care practitioners and payer organizations increasingly use big data to overcome what might be called a “flaw of averages” in traditional medicine: a treatment that has been tested at a population level might in fact work better for some individuals than others. The goal of precision medicine is therefore to identify treatments appropriate to an individual — rather than a population — based on granular genotype and phenotype data from his or her medical records. The individual data-driven nature of such treatment protocols improves the odds that a specific treatment will work for a specific patient. ….[READ]

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