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Big data for health.

Javier Andreu-Perez, Carmen C Y Poon, Robert D Merrifield

    IEEE Journal of Biomedical and Health Informatics
    |July 15, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Big data in health informatics integrates diverse data sources for personalized medicine, advancing disease diagnosis and treatment. However, challenges in privacy, security, and data governance must be addressed for successful implementation.

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    Area of Science:

    • Biomedical and Health Informatics
    • Bioinformatics
    • Data Science

    Background:

    • Big data presents unique characteristics and opportunities within biomedical and health informatics.
    • Integrating diverse data sources is crucial for advancing personalized medicine.
    • Existing frameworks struggle to address the complexities of large-scale health data.

    Purpose of the Study:

    • To provide an overview of recent developments in big data for biomedical and health informatics.
    • To highlight the benefits of an integrated approach to personalized information from diverse data sources.
    • To discuss the challenges and opportunities associated with big data in healthcare.

    Main Methods:

    • Review of recent literature and developments in big data applications in health.
    • Analysis of data integration strategies across various informatics domains.
    • Discussion of ethical, privacy, and governance issues related to health big data.

    Main Results:

    • Big data enables a comprehensive understanding of individual health by integrating genomics, proteomics, imaging, and sensor data.
    • Advances in big data analytics can drive hypothesis testing for disease management, from diagnosis to personalized treatment.
    • Significant challenges remain concerning data privacy, security, ownership, stewardship, and governance.

    Conclusions:

    • An integrated big data approach promises to revolutionize personalized medicine and disease management.
    • Addressing data governance, privacy, and security is paramount for realizing the full potential of big data in health.
    • Future opportunities lie in developing robust frameworks to tackle these underlying issues.