THE TRANSFORMATIVE IMPACT OF BIG DATA ON MODERN HEALTHCARE: A TECHNICAL ANALYSIS
Keywords:
Big Data Analytics, Predictive Healthcare Analytics, Precision Medicine, Healthcare IoT Integration, Clinical Decision Support SystemsAbstract
The healthcare sector is experiencing a transformative digital revolution driven by Big Data analytics, fundamentally changing how medical services are delivered and managed. This comprehensive article analysis explores the integration of advanced technologies in healthcare, focusing on predictive analytics for clinical decision support, genomics and precision medicine, and Internet of Things (IoT) integration for real-time health monitoring. The article examines the technical architecture, challenges, and solutions in implementing these technologies, highlighting the significant improvements in patient care, operational efficiency, and treatment outcomes. Through the analysis of current implementations and future directions, the article demonstrates how data-driven approaches enable more personalized, efficient, and effective healthcare delivery while addressing critical data integration, security, and scalability concerns.
References
Global Lancers, "Healthcare in the Digital Age: Advantages and Challenges Ahead," 2023. Available: https://lancersglobal.com/insights/digital-transformation/healthcare-in-the-digital-age-advantages-and-challenges-ahead
Elena Prokopets, "Big Data Analytics in Healthcare: Impact and Use Cases,” Evadanties , 2023. Available: https://www.edvantis.com/blog/big-data-analytics-in-healthcare/
Md. Monirul Islam, et al., "A comprehensive review of predictive analytics models for mental illness using machine learning algorithms," Healthcare Analytics, 2024. Available: https://www.sciencedirect.com/science/article/pii/S2772442524000522
Oussama Laraichi, et al., "Technology readiness assessment: Case of clinical decision support systems in healthcare," Technology in Society, 2024. Available: https://www.sciencedirect.com/science/article/abs/pii/S0160791X24002847
Edmund G Howe III, et al., "Ethical Challenges Posed by Big Data," Innov Clin Neurosci. 7(10-12):24–30, 2020. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC7819582/
Sabyasachi Dash, et al., "Big data in healthcare: management, analysis and future prospects," J Big Data 6 (54) (2019). Available: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-019-0217-0
Vijai Singh, "Advances in Genomics Methods and Applications," Genomic Medicine Applications, Springer Nature, 2024. Available: https://link.springer.com/book/10.1007/978-981-97-3169-5
Jacklyn M. Dahlquist, et al., "Cloud-based biomedical data storage and analysis for genomic research: Landscape analysis of data governance in emerging NIH-supported platforms," HGG Advances 2024. Available: https://www.sciencedirect.com/science/article/pii/S2666247723000283
Pratibha Mambatta Sankaranarayanan, et al., "A Review of Next-Generation Sequencing Technologies and Their Impact on Clinical Research: Assessing Clinical Efficacy and Cost-Effectiveness," Clinical Research & Technology Review, 2024. Available: https://www.researchgate.net/publication/381940292_A_Review_of_Next-Generation_Sequencing_Technologies_and_Their_Impact_on_Clinical_Research_Assessing_Clinical_Efficacy_and_Cost-Effectiveness
Langmead, B, et al. “Cloud computing for genomic data analysis and collaboration”, Nat Rev Genet 19, 208–219 (2018). Available: https://www.nature.com/articles/nrg.2017.113
Riken Shah et al., “What are the Top 5 Healthcare Integration Challenges and How to Overcome Them?” 2024. Available: https://www.osplabs.com/insights/top-5-healthcare-integration-challenges-and-how-to-overcome-them/
P. Jeyadurga, et al., "Security in Smart Healthcare System: A Comprehensive Survey," 2017. Available: https://www.researchgate.net/publication/323576672_Security_in_Smart_Healthcare_System_A_Comprehensive_Survey
Sasan Adibi, et al., "Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis" Sensors (Basel). 24(9):2793, 2024. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC11086215/
Keeley LaForme, "How Machine Learning Experts and Physicians at Johns Hopkins All Children’s are Working Toward a Healthier Future for All Kids," Johns Hopkins All Children's Hospital - Fall 2020 2024. Available: https://www.hopkinsmedicine.org/news/articles/2020/11/how-machine-learning-experts-and-physicians
Xtelligent Healthtech, "4 Emerging Strategies to Advance Big Data Analytics in Healthcare," Xtelligent Healthtech Analytics 2024. Available: https://www.techtarget.com/healthtechanalytics/feature/4-Emerging-Strategies-to-Advance-Big-Data-Analytics-in-Healthcare
Alexandru Rancea, et al., "Edge Computing in Healthcare: Innovations, Opportunities, and Challenges" Journal of Healthcare Engineering Innovation, 2024. Available: https://www.researchgate.net/publication/383930712_Edge_Computing_in_Healthcare_Innovations_Opportunities_and_Challenges