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Optimization of Big Data Analytics in Healthcare by Overcoming Security, Interoperability, and Cost Challenges

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Big data analytics improves patient care and clinical decisions by utilizing vast data sources and machine learning technologies.
Major challenges in healthcare services include data security, system integration, and high implementation costs, undermining BDA's potential.
Proposed solutions aim to enhance efficiency and address security and interoperability challenges in integrating BDA.
This work serves as a foundational assessment of BDA integration challenges, guiding future research and application development in healthcare.

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This paper reveals the hurdles of data security and interoperability in healthcare systems, suggesting solutions for successful BDA integration.

Anwar et al. (2025) studied this question.

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This paper reveals the hurdles of data security and interoperability in healthcare systems, suggesting solutions for successful BDA integration.