Objective This study aims to address the configuration and efficiency issues in digital subtraction angiography(DSA ) equipment usage through the practical implementation of a rationalization platform based on the Internet of Things (IoT).

Methods By employing IoT and data integration technologies, we achieved deep integration of DSA equipment operational data with clinical data, constructing a knowledge base for rational DSA equipment usage. Simultaneously, we developed a knowledge base system using software engineering techniques to visually display data analysis results.

Results Through thorough data analysis, we identified an imbalance in DSA usage between the southern and northern hospital districts. Addressing this issue, we made optimizations based on the data analysis results, which ultimately yielded significant effects. These adjustments not only effectively alleviated the pressure on DSA equipment usage in the southern district（the saturation level has been reduced from 64.22% to 63.89%） but also increased equipment utilization in the northern district（the average daily working hours have increased from 4.64h to 7.19h）, shortened patient appointment wait times（the appointment duration in the southern campus decreased by 21.86% year-on-year, while the appointment duration in the northern campus decreased by 20.51% year-on-year）, and promoted balanced equipment usage.

Conclusion Through the practical implementation of a DSA rationalization platform based on IoT, this study not only successfully explored methods for rational DSA usage but also provided valuable reference for the rational management of medical equipment.