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Big data analytics in healthcare is a powerful tool that can bring about significant improvements in patient care, operational efficiency, and medical research. This study explores the various aspects of big data analytics in healthcare, aiming to uncover its many opportunities and challenges. Through a thorough review of existing literature and real-world case studies, this research highlights the potential benefits of big data analytics, such as better disease prediction, personalized treatment approaches, and optimized resource allocation. However, there are also notable challenges to overcome, including concerns about data privacy, problems with sharing information between different systems, and the need for skilled staff and strong infrastructure. By combining insights from different perspectives, this study provides a complete understanding of the current state of big data analytics in healthcare, offering valuable information for policymakers, healthcare professionals, and researchers to navigate this evolving field effectively.
Tripathi et al. (Fri,) studied this question.
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