Design of Telemedicine System Based on Internet of Things Technology

This research conceptualizes a telemedicine framework that leverages the potential of Internet of Things technology to improve on the availability and effectiveness of health services at lower costs to patients and medical facilities. This paper presents the use of sensors and wearable devices in the collection of patient data in real-time by analyzing the structure of the Internet of Things, using the wireless communication technology in ensuring effective transmission. Massive data at the platform layer is smartly examined to offer users precise health management and decision-making assistance. The design of the system covers functional modules such as data collection, transmission, analysis and user interaction, and its effectiveness in the fields of chronic disease management, remote monitoring and postoperative care has been verified through application cases. Studies indicate that telemedicine solutions offer considerable benefits in enhancing the quality of life for patients and optimizing the distribution of healthcare resources. They are now a crucial factor in shaping contemporary healthcare models. The advancement of 5G network, along with artificial intelligence and big data technology, will enhance telemedicine systems' intelligence in disease prediction and personalized health management. These systems will integrate more deeply with smart homes and other city systems to enhance medical services. Seamlessly connect and extend to provide society with efficient and convenient health management solutions.