Design and development of the full-process regulatory information system for radiological health technical services in Gansu Province, China
10.13491/j.issn.1004-714X.2025.03.018
- VernacularTitle:甘肃省放射卫生技术服务全流程监管信息系统设计与开发
- Author:
Yun WANG
1
;
Xiuping LI
1
;
Hanyu ZHANG
1
;
Jie WANG
1
Author Information
1. Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
- Publication Type:OriginalArticles
- Keywords:
Radiological health technology service;
Full-process supervision;
System design;
System development
- From:
Chinese Journal of Radiological Health
2025;34(3):414-418
- CountryChina
- Language:Chinese
-
Abstract:
Objective To address the current blind spots in quality control and the risk of data distortion in radiological health technical service institutions, overcome the limitations of low efficiency and insufficient anomaly identification in manual verification, establish an automatic anomaly early warning mechanism based on AI algorithms, provide accurate clues for health supervision and law enforcement, and significantly enhance the efficiency of industry supervision. Methods On-site inspection data were collected via photographic imaging. Advanced image processing and object detection algorithms were employed to automatically extract and analyze key information from the images. Through data analysis, the system was used to calculate and assess the inspection results. A dynamic early warning engine was developed to automatically trigger alerts upon detection of deviations from standard thresholds or regulatory violations in radiological health technical services. These alerts were delivered through a regulatory information system. Results Following AI model training, the accuracy of the image processing and object detection algorithms reached 99% and the early warning accuracy reached 93%. Compared with the traditional supervision mode, the efficiency of anomaly detection was improved and the average response time was shortened. Conclusion The full-process supervision information system constructed in this study has realized the triple mechanism of pre-event standardization, in-event monitoring, and post-event traceability for radiological health technical services. In particular, the system has established a four-level quality control chain of “institutional self-inspection, intelligent recheck, expert judgment, and administrative action”, providing a technological innovation path for ensuring the radiation protection and safety of medical staff, patients, and the public.
