The research project centered on the development of a sophisticated system capable of extracting clinical knowledge from electronic medical records (EMRs) to facilitate hospitals' understanding and demand for drugs inventory. The primary objective was to leverage the vast amount of data within EMRs to provide hospitals with valuable insights into patient demographics, medical conditions, treatment patterns, and medication usage. By applying advanced data mining and natural language processing techniques, the system aimed to extract and analyze relevant clinical information from EMRs, enabling hospitals to gain a comprehensive understanding of drug requirements and consumption patterns. This knowledge would empower hospitals to make data-driven decisions regarding drugs inventory management, ensuring adequate stock levels, minimizing wastage, and optimizing the availability of critical medications. The project aimed to bridge the gap between clinical data and inventory management, ultimately supporting hospitals in delivering quality healthcare services efficiently and effectively

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