Hospital Management System Using RFID

Abstract

Manual record-keeping in hospitals leads to errors, financial losses, and inefficiencies. This study proposes an RFID based Hospital Management System integrating RFID tags, a mobile application, and a backend database to enhance data accuracy and streamline operations. A machine learning model analyzes financial losses due to record mismatches, achieving a high R² Score. Results indicate a significant reduction in financial losses and improvements in patient tracking, medication accuracy, and resource management. RFID proves to be a strategic investment for cost reduction and enhanced patient safety in healthcare. Index Terms—RFID, healthcare management, patient tracking, machine learning, predictive analytics, hospital efficiency.