This paper explores the optimization and application of cloud storage solutions to enhance healthcare data management in remote regions of India. With the growing need for robust healthcare data systems that can operate effectively in resource-constrained settings, cloud storage offers a viable solution. This study investigates various optimization techniques—data deduplication, compression, and encryption—and evaluates their impact on storage efficiency, data security, and access speed. Methodologically, the paper employs a mixed-methods approach combining quantitative data from system performance metrics with qualitative insights from healthcare professionals. The findings reveal that optimized cloud storage solutions significantly improve data management efficiency, reduce costs, and enhance data security, thereby supporting better healthcare outcomes. Furthermore, the paper discusses the scalability of these solutions and their potential applicability to other similarly challenged environments globally. By addressing the specific needs and challenges of remote healthcare systems, this research contributes to the broader discourse on leveraging technology to enhance healthcare delivery in underserved areas.
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Aman Rajesh Joshi (2024) studied this question.
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