摘要
目的:构建大数据技术平台的多级可拓模型,探讨其在提升医院儿科设备质量管理中的应用价值.方法:基于大数据技术平台架构进行医院儿科设备全过程化管理设计,构建多级可拓模型对儿科设备运行状态进行实时监测与评估.选取2022-2023年空军军医大学第一附属医院儿科在用的医疗设备,将2022年1-12月期间临床在用的141台设备采用事后经验评估方法,将2023年1-12月期间临床在用的153台设备采用多级可拓评估方法进行设备质量管理数据收集和分析.两种管理方法分别抽查60台儿科设备,对比不同管理方法的医院儿科设备管理水平评分和设备质量管理能力评分,采用自制调查问卷调研参与设备使用管理的工程师、医生、设备管理人员和相关科室管理者对不同管理方法的满意程度.结果:采用多级可拓评估方法的儿科设备资源配置、技术支撑、信息基础和管理效益平均评分分别为(92.36±4.65)分、(90.47±3.26)分、(91.56±3.36)分和(93.26±3.68)分,均高于事后经验评估方法,差异有统计学意义(t=17.495、18.551、19.705、17.208,P＜0.05);参与设备使用管理的工程师、医生、设备管理人员和相关科室管理者对采用多级可拓评估方法的儿科设备管理满意度评分分别为(92.69±3.11)分、(93.62±4.95)分、(92.54±3.23)分和(94.57±4.69)分,均高于事后经验评估方法,差异有统计学意义(t=12.526、10.215、14.852、11.644,P＜0.05);采用多级可拓评估方法的设备完好率、及时维修率和规范放置率分别为96.67%(58/60)、95%(57/60)和95%(57/60),均高于事后经验评估方法,设备故障率为3.33%(2/60),低于事后经验评估方法,差异有统计学意义(x2=11.582、12.987、14.249、11.580,P＜0.05).结论:大数据技术平台的多级可拓模型应用解决了儿科医疗设备管理冗杂问题,能够提升设备质量管理评价的准确性,改善医院儿科设备运行质量,提高设备使用安全性,降低设备运行风险和不良事件发生率.
Abstract
Objective:To construct a multi-level extension model of big data technology platform,and to explore its application value in improving the quality of pediatric equipment management in hospitals.Methods:Based on the big data technology platform architecture,the whole process management design of pediatric equipment was carried out,and a multi-level extension model was constructed to monitor and evaluate the operation status of pediatric equipment in real time.The medical equipment in clinical use in the Department of Pediatrics of First Affiliated Hospital of PLA Air Force Medical University from 2022 to 2023 was selected,and 141 devices in clinical use from January to December 2022 were evaluated by post-experience evaluation method,and 153 devices in clinical use from January to December 2023 were evaluated by multi-level extension evaluation method.60 pediatric devices were randomly inspected under the two management methods respectively,and the pediatric device management level scores and equipment quality management ability scores of hospitals with different management methods were compared.The satisfaction of engineers,doctors,equipment managers and related department managers involved in equipment use management with different management methods were investigated by using a self-made questionnaire.Results:The average scores of pediatric equipment resource allocation,technical support,information basis and management benefit using the multi-level extension evaluation method were(92.36±4.65),(90.47±3.26),(91.56±3.36)and(93.26±3.68),respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=17.495,18.551,19.705,17.208,P<0.05).The satisfaction scores of engineers,doctors,equipment managers and managers of relevant departments for pediatric equipment management using the multi-level extension evaluation method was(92.69±3.11)points,(93.62±4.95)points,(92.54±3.23)points and(94.57±4.69)points,respectively,which were higher than those of the post-experience evaluation method,the difference was statistically significant(t=12.526,10.215,14.852,11.644,P<0.05).The equipment completeness rate,timely maintenance rate and standard placement rate of the multi-level extension evaluation method were 96.67%(58/60),95%(57/60)and 95%(57/60),respectively,which were higher than those of the post-experience evaluation method,and the equipment failure rate was 3.33%(2/60),which was lower than that of the post-experience evaluation method,the difference was statistically significant(x2=11.582,12.987,14.249,11.580,P<0.05).Conclusion:The application of multi-level extension model of big data technology platform solves the complicated problem of redundant management of pediatric medical equipment,which can improve the accuracy of equipment quality management evaluation,improve the operation quality of pediatric equipment in hospitals,improve the equipment use safety,and reduce the equipment operation risk and adverse event incidence.
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万方数据