摘要
目的:基于关联规则算法构建公立医院医疗设备分类管理模型,分析其在医院设备管理中的应用效果.方法:基于关联规则算法中的关联规则分析Apriori算法和设备异常信息挖掘K-means算法进行设备分类管理,构建公立医院医疗设备分类管理模型用于挖掘设备状态的异常特征.选取2022-2023年北京回龙观医院临床在用的244台医疗设备,按照基于关联规则算法的公立医院医疗设备分类管理模型应用前后,将2022年1-12月的设备使用期间设定为关联规则算法设备分类管理模型应用前,2023年1-12月的设备使用期间设定为关联规则算法设备分类管理模型应用后.对比关联规则算法设备分类管理模型应用前后的设备分类管理效果评分、不同类型设备故障发生率和设备效能评分.结果:关联规则算法设备分类管理模型应用后的入库管理、使用管理、维修保养管理和报废管理评均分分别为(89.65±4.65)分、(90.25±4.36)分、(87.69±3.12)分和(90.36±3.39)分,均高于应用前,差异有统计学意义(t=17.866、14.671、18.128、19.479,P＜0.05);关联规则算法设备分类管理模型应用后的医学影像诊断及辅助设备、健康监测设备、康复设备和干预及治疗设备发生故障2、3、2、3台,故障率分别为3.33%、4.69%、2.86%和6.00%,均低于应用前,差异有统计学意义(x2=5.925、6.117、7.937、5.316,P＜0.05);关联规则算法设备分类管理模型应用后的设备整体利用效能、质量稳定效能和诊疗准确效能评均分分别为(96.39±3.69)分、(94.23±3.06)分和(95.47±4.36)分,均高于应用前,差异有统计学意义(t=16.762、17.919、11.769,P＜0.05).结论:基于关联规则算法的公立医院医疗设备分类管理模型应用可实现医院医疗设备分类管理,提高设备运行效率和管理水平,降低设备故障率.
Abstract
Objective:To construct a classification management model of medical equipment in public hospitals based on association rules algorithm,and to analyze its application effect in hospital equipment management.Methods:Equipment classification management was performed based on Apriori algorithm(association rule analysis)and K-means algorithm(equipment abnormal information mining)in the association rules algorithm,the classification management model of medical equipment in public hospitals was constructed to mine the abnormal characteristics of equipment status.A total of 244 medical devices in clinical use in Beijing Huilongguan Hospital from 2022 to 2023 were selected.According to the application of the classification management model of medical equipment in public hospitals based on the association rule algorithm,the equipment use period from January to December 2022 was set before the application of the association rule algorithm model,and the equipment use period from January to December 2023 was set to the time after the application of the association rule algorithm model.The scores of equipment classification management,the failure rate of different types of equipment and equipment efficiency score before and after the application of association rule algorithm model were compared.Results:After the application of association rule algorithm model,the average scores of warehousing management,use management,maintenance management and scrap management were(89.65±4.65)points,(90.25±4.36)points,(87.69±3.12)points and(90.36±3.39)points,respectively,which were higher than before the application,the difference was statistically significant(t=17.866,14.671,18.128,19.479,P<0.05).After the application of association rule algorithm model,the number of medical image diagnostic and auxiliary equipment,health monitoring equipment,rehabilitation equipment and intervention and treatment equipment that failed was 2,3,2,and 3,and the failure rates were 3.33%,4.69%,2.86%and 6.00%,respectively,which were lower than those before the application,the difference was statistically significant(x2=5.925,6.117,7.937,5.316,P<0.05).After the application of association rule algorithm model,the average scores of overall utilization efficiency,quality stability efficiency and accurate diagnosis and treatment efficiency of the equipment were(96.39±3.69)points,(94.23±3.06)points and(95.47±4.36)points,respectively,which were higher than those before the application,and the difference was statistically significant(t=16.762,17.919,11.769,P<0.05).Conclusion:The application of the classification management model of medical equipment in public hospitals based on association rules algorithm can realize the classification management of medical equipment in hospitals,improve the operating efficiency and management level of equipment,and reduce the equipment failure rate.
维普
万方数据