Applying internet of things (IoT) technology in the construction of hospital medical equipment management information system, and constructing and applying an magnetic resonance imaging (MRI) examination appointment scheduling management system in a real hospital environment, in order to achieve a scientific MRI examination appointment scheduling method, comprehensively improve the efficiency of hospital medical equipment examination, shorten patient waiting time, and optimize resource allocation.

The system optimizes and integrates the existing medical equipment resources by using IoT technology, and combines the hospital's demands. It adopts a four-layer hierarchical architecture from bottom to top: data collection layer - data integration layer - application service layer - application business layer, to build an MRI examination appointment and scheduling management system. This system realizes core functions such as equipment usage efficiency analysis, patient appointment analysis, and scheduling record analysis. By comparing four indicators - the average daily working hours per MRI device, the average daily on-time hours per MRI device, the average daily number of patients served per MRI device, and the average interval time between examinations - before and after the system's launch, the application effect of the system is analyzed.

After the application of the system, the average daily number of patients served and average daily working hours per MRI device significantly increased, and the average interval time between examinations significantly decreased, with all differences being statistically significant (P<0.05). However, the difference in the average daily on-time hours per device was not statistically significant (P>0.05), indicating that the system has a promoting effect on improving the utilization efficiency of MRI devices.

After the system was applied, the service volume of MRI equipment were significantly improved, the average interval time between examinations was effectively shortened, and the utilization rate of hospital MRI equipment was significantly improved, This management strategy and optimization method not only provide scientific data support for hospital managers, but also provide effective and feasible management tools to enhance the social and economic benefits of hospitals, with broad application prospects and promotion value.