BIG DATA AND PREDICTIVE ANALYTICS IN MEDISENSE FOR CLINICAL DECISION-MAKING

Big data and predictive analytics are revolutionizing modern healthcare by enabling accurate, data-driven clinical decision-making. Platforms such as Medisense combine artificial intelligence, electronic health records (EHRs), and predictive modeling to improve diagnostic accuracy, treatment planning, and patient outcomes. This article explores the role of big data and predictive analytics in Medisense, highlighting four core areas: integrating big data for clinical insights, predictive analytics for disease prevention, real-time monitoring and decision support, and addressing challenges of data privacy and governance. Graphical illustrations demonstrate adoption trends, accuracy improvements, efficiency gains, and ethical challenges. The study emphasizes that while Medisense enhances healthcare delivery in Pakistan and beyond, strong ethical and policy frameworks are essential for safe and equitable integration.