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Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization.

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    Digitization in healthcare generates vast data, requiring advanced visualization tools for precise diagnoses and personalized treatments. This article explores unique challenges in healthcare data visualization.

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    Area of Science:

    • Health Informatics
    • Medical Data Science
    • Clinical Informatics

    Background:

    • The healthcare industry is undergoing significant digitization, transforming economic and clinical practices.
    • Digital transformation enables data-driven evidence for improved diagnostics, patient risk identification, personalized treatments, and population health research.

    Purpose of the Study:

    • To review the critical role of advanced data visualization tools in healthcare.
    • To identify and discuss unique visualization challenges within the healthcare discipline.

    Main Methods:

    • Literature review of data visualization applications in healthcare.
    • Analysis of challenges posed by healthcare data complexity and scale.

    Main Results:

    • Advanced data visualization is crucial for leveraging healthcare data.
    • Specific visualization challenges unique to healthcare are identified.

    Conclusions:

    • Addressing unique healthcare data visualization challenges is essential for realizing the full potential of digital health transformation.
    • Effective visualization tools can significantly enhance medical decision-making and research outcomes.