To Study Opportunities and Challenges of Big Data Analytics in Healthcare
Keywords:
Big data analytics, healthcare industry, data-driven healthcare, healthcare data analysis, predictive analytics, personalized medicine, disease management, clinical decision support, healthcare innovation, data security.
Abstract
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.
Published
2024-05-17
Section
Research Article
Copyright (c) 2024 International Journal Of Multidisciplinary Research In Science, Engineering and Technology
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