Exploration and Practice of Performance Evaluation System for Large Medical Equipment Based on Internet of Things Technology

Medical equipment, as an important indicator of smart hospitals, is crucial for hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable evaluation system is indispensable. This study introduces a platform based on Internet of Things technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation index system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition boxes are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and have a significant impact on the development decisions of public hospitals.