Smart hospitals are places where integrated systems let doctors and nurses keep an eye on patients in real time, make better diagnoses, and deliver care more quickly. This is all thanks to the fast growth of healthcare technology. But health monitoring systems still have big problems with scalability, interoperability, and security. This dissertation introduces a cohesive electrical and mechatronics-oriented Internet of Things (IoT) architecture intended for scalable health monitoring within intelligent hospital settings. The suggested architecture combines advanced sensor networks, embedded systems, real-time data analysis, and secure cloud connectivity. One of the most important things is that it has a modular, multi-layered design that makes it easy to add different biomedical sensors, actuators, and wireless communication protocols. The system uses cutting-edge power management, a strong network topology, and advanced encryption methods to make sure that data can be sent safely, reliably, and with less energy. Extensive experimental validation shows that the architecture is scalable and reliable. When compared to traditional methods, it shows significant improvements in patient monitoring accuracy, response time, and system resilience. The results offer a framework for the forthcoming generation of intelligent hospital infrastructure, enabling proactive and customised healthcare while tackling significant issues in interoperability, privacy, and scalability.
Keywords: IoT, Mechatronics, Electrical Engineering, Smart Hospitals, Health Monitoring, Sensor Networks, Scalability, Cloud Computing, Embedded Systems, Healthcare Technology.
How to cite this article: Dubey RRK, Padmavathy C, Ranjan R, Balakarthikeyan M, Ahamed AA, Shukla KK, An Integrated Electrical and Mechatronics-Based IoT Architecture for Scalable Health Monitoring in Smart Hospitals. Int J Drug Deliv Technol. 2026;16(2s): 358-365; DOI: 10.25258/ijddt.16.358-365