The Impact of Big Data Analytics on Health Care: A Systematic Review

The extension of Big Data analytics to healthcare has radically altered how healthcare-related data is managed and used, presenting unequalled chances of augmenting patient experiences, boosting operational effectiveness, and customising treatment regimens. The prospective advantages of Big Data in medical fields have been ameliorated to a larger extent due to recent technological breakthroughs. Regardless of the noteworthy progress, an in-depth comprehension of the exact manner in which Big Data analytics improves numerous healthcare applications is lacking. The abrupt advancement of these technological innovations and their utilisation in the healthcare sector demands a revised amalgamation of the existing research patterns, approaches, and outcomes. In order to answer six particular research questions on Big Data analytics in healthcare, this comprehensive analysis examined 127 research articles that were released between 2015 and 2024. The evaluation used a methodically organised approach that included determining the parameters for inclusion and exclusion, data sources, search tactics, quality evaluation, and data coding and analysis. To facilitate a thorough and honest review procedure, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were applied. According to the research, the fields with the highest representation in the literary works include sleep apnoea monitoring, digital health records, and BDA healthcare applications and platforms. The machine learning algorithms that are most commonly used are supervised learning approaches, including Linear Regression and Support Vector Machines. A geographic study showed that China, India, and the United States have made substantial contributions. The temporal study revealed a substantial spike in research endeavours between 2020 and 2023, indicating heightened interest in the fusion of Big Data with the healthcare industry. The year 2024 witnessed an abrupt reduction in publications, indicating either a level of saturation or a shift in the focus of the study. The results highlight how Big Data analytics may redefine healthcare by improving operational effectiveness, individualised treatment regimens, and diagnostic accuracy. The report also emphasises the significance of having strong ethical standards and legal frameworks in place in order to cope with data security and privacy issues. Future studies should concentrate on investigating upcoming technologies, multidisciplinary approaches, flawless integration with current systems, and the lasting effects of these technologies. Furthermore, encouraging international cooperation can improve the exchange of resources and ideal practices, expanding the scope of Big Data healthcare analytics globally.