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In response to the problems of errors, low efficiency, and insufficient utilization in manual calibration of medical devices, this study adopts wireless communication technology to achieve real-time data exchange and remote operation between the device and the central system, effectively reducing manual participation. By combining intelligent calibration algorithms, dynamic analysis and automatic adjustment of device operation are implemented to ensure autonomous calibration when it deviates from the standard. The system also integrates a real-time Quality Assurance (QA) monitoring module to monitor key indicators of devices, trigger alarms in case of abnormalities, and initiate fault warning and preventive maintenance processes to reduce downtime. The experimental data shows that the average calibration time of the device has been reduced by 66%, and the utilization rate has been increased to 79.8%, fully verifying the significant effectiveness of the system in shortening the calibration cycle and enhancing device utilization, which is conducive to the comprehensive improvement of medical device efficiency and operation level.

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Design of Intelligent Calibration System for Medical Device Testing Based on Wireless QA Control

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Jing Sun,
  • Dong Shen,
  • Wenqing Zhu,
  • Yannan Ren,
  • Yang Feng,
  • Ziyan Zhao

摘要

In response to the problems of errors, low efficiency, and insufficient utilization in manual calibration of medical devices, this study adopts wireless communication technology to achieve real-time data exchange and remote operation between the device and the central system, effectively reducing manual participation. By combining intelligent calibration algorithms, dynamic analysis and automatic adjustment of device operation are implemented to ensure autonomous calibration when it deviates from the standard. The system also integrates a real-time Quality Assurance (QA) monitoring module to monitor key indicators of devices, trigger alarms in case of abnormalities, and initiate fault warning and preventive maintenance processes to reduce downtime. The experimental data shows that the average calibration time of the device has been reduced by 66%, and the utilization rate has been increased to 79.8%, fully verifying the significant effectiveness of the system in shortening the calibration cycle and enhancing device utilization, which is conducive to the comprehensive improvement of medical device efficiency and operation level.