AI AND ANALYTICS IN HEALTHCARE: A NEW ERA OF PATIENT- CENTRIC CARE

Data analytics is fundamentally transforming the healthcare sector by applying advanced computational methods to increase patient care, streamline operations, and advance medical research. Through the integration of artificial intelligence (AI), machine learning (ML), and big data analytics (BDA), healthcare is shifting from a reactive model to one that is proactive and tailored to individual patient needs. Essential data sources such as electronic health records (EHRs), wearable technology, and genomic information facilitate real-time monitoring, predictive analytics, and personalized treatment strategies. These innovations enable healthcare professionals to detect high-risk individuals, customize therapies, and intervene early to manage chronic diseases effectively.

On the operational side, analytics helps optimize resource use, detect fraud, and cut costs by reducing unnecessary procedures. Data insights also support improved population health strategies by enabling targeted prevention efforts and addressing inequalities through the analysis of social determinants of health. Predictive analytics powered by AI play a critical role in public health initiatives, such as tracking disease patterns and managing vaccine distribution, as seen during the COVID-19 crisis. By transforming raw data into practical intelligence, advanced analytics underpin precision medicine, reduce medical errors, and enhance clinical outcomes, making them essential to the evolution of sustainable and efficient healthcare systems.