MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202631068858 A) filed by Sriparna Guha on June 01, 2026, for A System And Method For Intelligent Predictive Procurement And Automated Purchasing Optimization In Healthcare Facilities.
Inventor includes Sriparna Guha.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Healthcare facilities manage thousands of medicines, surgical supplies, diagnostic consumables, implants, laboratory reagents, and medical equipment on a daily basis. Conventional procurement systems largely depend on manual inventory monitoring and purchasing decisions, often resulting in stock shortages, excessive inventory accumulation, delayed procurement cycles, inefficient vendor selection, and increased operational costs. Such inefficiencies can adversely affect patient care, hospital resource utilization, and overall healthcare service delivery. The present invention discloses a System and Method for Intelligent Predictive Procurement and Automated Purchasing Optimization in Healthcare Facilities. The proposed system integrates artificial intelligence, machine learning, inventory analytics, vendor intelligence, and automated procurement workflows into a unified decision-support platform. The invention comprises an Inventory Monitoring Module, Clinical Demand Forecasting Engine, Vendor Performance Evaluation Module, Procurement Optimization Engine, Automated Purchase Order Generator, Risk Assessment Module, and Hospital Dashboard Interface. The system continuously collects and analyzes data from multiple sources including patient admissions, historical inventory consumption, disease prevalence patterns, seasonal healthcare trends, surgery schedules, emergency cases, procurement records, and supplier performance metrics. Advanced predictive algorithms forecast future demand for medical supplies and equipment, enabling proactive inventory planning and optimized purchasing decisions. Based on the forecasted requirements, the procurement optimization engine determines optimal order quantities, procurement schedules, and budget allocation strategies while simultaneously evaluating supplier reliability, pricing competitiveness, quality performance, and delivery efficiency. By integrating predictive analytics with intelligent procurement automation, the invention significantly reduces stock-outs, minimizes excess inventory, improves vendor selection accuracy, enhances supply chain efficiency, lowers procurement costs, and strengthens healthcare service continuity. The proposed system provides a scalable and intelligent framework for modern hospital procurement management, supporting data-driven decision-making and improving overall healthcare operational performance.
Disclaimer: Curated by HT Syndication.
