The article "Big Data in Healthcare: Management, Analysis, and Future Prospects" by Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, and Sandeep Kaushik discusses the significant role of big data in healthcare. Big data, characterized by its volume, velocity, variety, and veracity, has become a critical resource for improving healthcare services. The authors highlight the importance of proper management and analysis of big data to derive meaningful insights, which can revolutionize medical therapies and personalized medicine. The article covers various aspects of big data in healthcare, including the challenges and opportunities presented by electronic health records (EHRs) and the Internet of Things (IoT). EHRs have improved access to patient medical history, reduced redundant examinations, and enhanced care coordination. IoT devices, such as fitness trackers and biosensors, generate vast amounts of real-time health data, which can be integrated with EHRs to provide better patient monitoring and predictive analytics. The authors also discuss the use of machine learning (ML) and artificial intelligence (AI) in healthcare, emphasizing their potential to enhance decision-making and improve patient outcomes. ML algorithms can analyze complex medical images, extract relevant information from unstructured data, and predict disease outcomes. Additionally, they explore the integration of omics studies, such as genomics and proteomics, to create comprehensive patient profiles and support precision medicine. Despite the benefits, the article acknowledges the challenges associated with managing and analyzing big data in healthcare, including data storage, cleaning, unified formatting, and accuracy. The authors suggest that advanced computing solutions, such as Hadoop and Apache Spark, are essential for handling large-scale data and enabling efficient analysis. Overall, the article underscores the potential of big data to transform healthcare by improving patient care, reducing costs, and advancing medical research. However, it also highlights the need for robust infrastructure, skilled professionals, and innovative technologies to fully realize these benefits.The article "Big Data in Healthcare: Management, Analysis, and Future Prospects" by Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, and Sandeep Kaushik discusses the significant role of big data in healthcare. Big data, characterized by its volume, velocity, variety, and veracity, has become a critical resource for improving healthcare services. The authors highlight the importance of proper management and analysis of big data to derive meaningful insights, which can revolutionize medical therapies and personalized medicine. The article covers various aspects of big data in healthcare, including the challenges and opportunities presented by electronic health records (EHRs) and the Internet of Things (IoT). EHRs have improved access to patient medical history, reduced redundant examinations, and enhanced care coordination. IoT devices, such as fitness trackers and biosensors, generate vast amounts of real-time health data, which can be integrated with EHRs to provide better patient monitoring and predictive analytics. The authors also discuss the use of machine learning (ML) and artificial intelligence (AI) in healthcare, emphasizing their potential to enhance decision-making and improve patient outcomes. ML algorithms can analyze complex medical images, extract relevant information from unstructured data, and predict disease outcomes. Additionally, they explore the integration of omics studies, such as genomics and proteomics, to create comprehensive patient profiles and support precision medicine. Despite the benefits, the article acknowledges the challenges associated with managing and analyzing big data in healthcare, including data storage, cleaning, unified formatting, and accuracy. The authors suggest that advanced computing solutions, such as Hadoop and Apache Spark, are essential for handling large-scale data and enabling efficient analysis. Overall, the article underscores the potential of big data to transform healthcare by improving patient care, reducing costs, and advancing medical research. However, it also highlights the need for robust infrastructure, skilled professionals, and innovative technologies to fully realize these benefits.