Abstract
Well-designed visual displays have the power to convey health messages in clear, effective ways to non-experts, including journalists, patients and policymakers. Poorly designed visual displays, however, can confuse and alienate recipients, undermining health messages. In this Perspective, we propose a structured framework for effective visual communication of health information, using case examples of three common communication tasks: comparing treatment options, interpreting test results, and evaluating risk scenarios. We also show simple, practical ways to evaluate a design’s success and guide improvements. The proposed framework is grounded in research on health risk communication, visualization and decision science, as well as our experience in communicating health data.
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Acknowledgements
Preparation of this Perspective was supported in part by the CDC through a financial assistance award to the Department of Machine Learning, Carnegie Mellon University. The contents are those of the authors and do not necessarily represent the official view of nor an endorsement by the CDC–HHS or the US Government. The sponsor had no role in the manuscript.
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Woloshin, S., Yang, Y. & Fischhoff, B. Communicating health information with visual displays. Nat Med 29, 1085–1091 (2023). https://doi.org/10.1038/s41591-023-02328-1
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DOI: https://doi.org/10.1038/s41591-023-02328-1
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