Design of Medical Equipment Failures Library Based on Data Mining
Technology
LI Wei1,2, XU Lei1
1.Institute of Health Service and Medical
Information, Academy of Military Medical
Sciences, Beijing 100850, China; 2.Department
of Medical Engineering, 307th PLA Hospital,
Beijing 100071, China
Abstract：Objective Based on the previous research, the paper established a special database system
with modern databases and data mining algorithms, which gave an analysis of the hospital medical
equipment maintenance and fault information. Methods By using user interaction modeling algorithms
and decision support system, system could achieve full-cycle fault analysis and improve the medical
equipment management system. Result The system could be able to carry out the existing equipment
failure statistics, perform analysis of causes of failure factors, as well as to build equipment performance
analysis model so as to provide basis for the process of preventive maintenance and equipment quality
analysis. Conclusion The system could be widely used in medical equipment assessment, reporting,
data analysis, and maintenance process, which can be used to improve the standardization and
intellectualization of medical equipment maintenance effectively.
李巍1,2，徐雷1. 基于数据挖掘技术的医疗设备故障库的设计[J]. 中国医疗设备, 2016, 31(5): 117-120.
LI Wei1,2, XU Lei1. Design of Medical Equipment Failures Library Based on Data Mining
Technology. China Medical Devices, 2016, 31(5): 117-120.
