This paper presents Wellness Works – Predictive Patient Care Analytics Platform, an intelligent healthcare analytics system that integrates patient data management, machine learning prediction, and real-time visualization dashboards. The proposed system collects patient health parameters including blood pressure, heart rate, blood sugar level, oxygen saturation, and temperature. These parameters are processed using a machine learning model to calculate a risk score and classify patients into low, medium, or high-risk categories. The platform also integrates Excel-based data storage and Power BI dashboards for visual analytics and decision support. The system provides automated alerts for critical patients, allowing doctors to take timely medical action. Experimental analysis demonstrates improved efficiency in patient monitoring, better risk identification, and enhanced hospital data analytics. The proposed system contributes a scalable architecture that integrates predictive healthcare analytics with business intelligence visualization.

Dr.M.Jaithoon Bibi, Ms.V.Uthra, S.Poornimaa,"WellnessWorks – Predictive Patient Care Analytics Platform (WPCAP)" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(195-201) March - April 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.