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United States | Health and Medical Sciences | Volume 14 Issue 11, November 2025 | Pages: 13 - 15
The Predictive Revolution: Transforming Healthcare Outcomes Through Advanced Data Analytics
Abstract: The healthcare industry in 2025 is undergoing a fundamental paradigm shift, moving from a reactive model of treatment to a proactive and predictive framework of care. This transformation is driven by the integration of advanced data analytics, machine learning, and artificial intelligence into nearly every facet of the healthcare ecosystem. Vast amounts of heterogeneous data-from electronic health records (EHRs) and genomic sequences to real-time inputs from wearable devices-are being harnessed to generate actionable insights. This paper explores the critical applications of data analytics in modern healthcare, including predictive modeling for disease prevention, personalized medicine, operational efficiency, and clinical decision support. It examines the tangible impact of these technologies on improving patient outcomes, reducing costs, and enhancing the quality of care. Furthermore, the paper discusses key trends shaping the future of healthcare analytics, such as the rise of federated learning and AI-driven diagnostics, while also considering the challenges that must be addressed to realize the full potential of this data-driven revolution.
Keywords: Healthcare Analytics, Predictive Modeling, Personalized Medicine, Machine Learning, Patient Outcomes
How to Cite?: Udit Mahajan, "The Predictive Revolution: Transforming Healthcare Outcomes Through Advanced Data Analytics", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 13-15, https://www.ijsr.net/getabstract.php?paperid=MR251031131801, DOI: https://dx.doi.org/10.21275/MR251031131801