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We discuss how an evidence-based theory of human behavior and decision-making—Fuzzy-Trace Theory (FTT)—can be used to better understand and improve public health and medicine. We present an overview of the theory, describing its core principles as well as illustrative evidence. Applications are discussed in the areas of risk perception, prevention, detection and diagnosis of disease, and decision-making regarding treatment. We then review findings from interventions designed to improve health judgments and medical decision-making by effectively communicating risks and benefits. The theory provides guidelines for development of such interventions because it predicts reactions to health messages and explains the causal mechanisms of judgment and decision-making. We also present recommendations for future research.