Study on the construction of a risk classification model based on logistic regression for medical equipment in the department of cardiovascular medicine
10.3969/j.issn.1672-8270.2025.01.018
- VernacularTitle:基于逻辑回归的心内科医疗设备风险分级模型构建研究
- Author:
Lin HE
1
;
Hairong YAO
;
Min SHAO
;
Jin PAN
Author Information
1. 西北大学附属医院·西安市第三医院心血管内科 西安 710018
- Publication Type:Journal Article
- Keywords:
Logistic regression;
Cardiovascular devices;
Risk classification model;
Safety management;
Grey clustering analysis
- From:
China Medical Equipment
2025;22(1):96-101
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct a risk classification model based on logistic regression for medical equipment,so as to improve the application efficiency of medical equipment in the department of cardiovascular medicine. Methods:The logistic regression algorithm was used to construct the risk grade of adverse event of medical equipment of the department of cardiovascular medicine,and data collation and analysis were used to realize monitoring and management control for medical equipment. The 31 sets used medical equipment in the Department of Cardiovascular equipment of Xi'an No.3 Hospital from October 2021 to October 2022 were selected. Equipment management was conducted using conventional methods for risk management from October 2021 to October 2022,while equipment management from November 2022 to November 2023 adopted a risk classification model based on logistic regression was used to conduct risk management. A total of 204 logs of equipment application of the two kinds of management methods were selected,and each method selected 102 logs. The error rate of clinical operation,the occurrence of equipment failure,the timeliness score of risk management of equipment and the rate of hidden danger of safety risk of equipment were compared between the two kinds of management methods. Results:The number of error use of equipment,operational error and man-made mistake were respectively 3,2 and 2 in 102 logs that were managed by using risk classification model,and the incidence rates of them were respectively 2.94％,1.97％ and 1.97％,which were lower than those by using conventional management method,and the differences were statistically significant (x2=11.613,13.058,14.191,P<0.05). The average failure rate,self-maintenance rate of failure and average scrap rate of the medical equipment of the department of cardiovascular medicine of the management with risk classification model were respectively (0.56±0.22)％,(0.79±0.19)％ and (0.90±0.22)％,all of which were lower than those of conventional management method,and the differences were statistically significant (x2=16.971,15.531,15.809,P<0.05). The risk early warning,risk identification,and the average timeliness scores of risk prevention and control of using the management with risk classification model were respectively (90.29±8.69),(89.69±7.69),and (94.58±6.69),all of which were higher than those of using the management with conventional management method,and the differences were statistically significant (t=13.325,11.003,11.676,P<0.05). The number of mechanical injury,associated infection,and abnormal operation of equipment were respectively 1,1 and 2 in 31 medical equipment that were managed by risk classification model,and the incidence rates of them were respectively 3.23％,3.23％ and 6.45％,all of which were lower than those of conventional management methods,and the differences were statistical significances (x2=5.167,7.631,5.413,P<0.05),respectively. Conclusion:The application of a risk classification model based on logistic regression for medical equipment of the department of cardiovascular medicine can improve the utilization rate of equipment,and reduce the potential risk hidden danger of safety,and enhance the operation quality of equipment.
