Energy conservation is essential due to the rising demand for electricity, influenced by population growth, urbanization, and industrialization. This project focuses on improving the monitoring of medical equipment, particularly radiology machines, to analyse their energy usage patterns. It aims to optimize equipment maintenance and energy management through IoT technology. The IoT device, powered by Wi-Fi-enabled microcontrollers, collects sensor data and streams it to a local database for real-time monitoring of medical devices. A dashboard provides continuous data analysis, offering daily insights, early warnings of potential issues, and usage profiling in a statistical format. The system enables a transition from time-based to predictive, condition-based maintenance, minimizing downtime and improving energy efficiency based on actual power consumption. By delivering detailed usage data, the system aids in decision-making regarding equipment usage and replacement planning. Additionally, real-time monitoring enhances patient safety by ensuring that medical equipment consistently operates within optimal conditions. This innovative energy management approach can set new benchmarks for operational efficiency and sustainability in healthcare settings. Furthermore, the system alerts maintenance teams instantly if equipment performance strays from established norms, allowing for prompt intervention before any significant issues occur with high-cost healthcare equipment.