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    Area of Science:

    • Health Informatics
    • Data Science
    • Developing Economies

    Background:

    • Massive growth in healthcare data generation, amplified by multimedia devices.
    • Prevalence of unstructured data management in developing countries.
    • Significant risk of data loss due to inadequate data keeping practices.

    Purpose of the Study:

    • To highlight the critical problem of unstructured Big Data in healthcare within developing nations.
    • To underscore the vulnerability of this data to loss.
    • To advocate for the development and implementation of cost-effective solutions.

    Main Methods:

    • Qualitative analysis of current data management challenges in healthcare.
    • Identification of risks associated with unstructured Big Data.
    • Review of existing data-keeping strategies and their limitations.

    Main Results:

    • Healthcare data is expanding exponentially, posing storage and management challenges.
    • Developing countries face unique hurdles with unstructured data, increasing loss vulnerability.
    • Current data-keeping methods are insufficient to address the scale and nature of Big Data.

    Conclusions:

    • Urgent need for innovative and cost-effective data management strategies in developing countries.
    • Implementing structured data solutions is crucial to mitigate healthcare Big Data loss.
    • Addressing data infrastructure is paramount for reliable healthcare information systems.