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作 者:鲍莉 沈云明[1,2] 郑焜 BAO Li;SHEN Yunming;ZHENG Kun(The Children's Hospital,Zhejiang University School of Medicine,Hangzhou,310057;National Clinical Research Center for Child Health,Hangzhou,310057)
机构地区:[1]浙江大学医学院附属儿童医院,杭州市310057 [2]国家儿童健康与疾病临床医学研究中心,杭州市310057
出 处:《中国医疗器械杂志》2023年第2期229-232,共4页Chinese Journal of Medical Instrumentation
摘 要:目的 尝试将数据分析和数据可视化与医疗设备相结合,提供一套数据分析和数据可视化的解决方案,采用该方案可以对医疗设备全生命周期的数据进行深度挖掘,进而对业务起到指导作用。方法 借助互联网领域成熟的工具医依和有数,快速完成数据采集和丰富的可视化效果,并引入数据分析的理念,深度挖掘数据。结果 以输注泵维修数据为例,通过医依完成数据采集,在有数上完成维修系统搭建。结论 输注泵统维修系统简洁清晰,可视化效果好,能快速分析报修故障,进而减少维修次数,降低维修成本,保障设备使用安全,并且系统能方便地迁移到其他医疗设备上进行全生命周期的数据研究。Objective To combine data analysis and data visualization with medical devices,provide a set of data analysis and data visualization solutions.This solutions can deeply excavate the data of the whole life cycle of medical equipment,and then play a guiding role in business.Methods With the help of mature tools in the Internetfield,YIYI and YOUSHU,we can quickly complete data collection and rich visualization effects,and introduce the concept of data analysis to deeply mine data.Results Taking the maintenance data of infusion pump as an example,the data collection is completed through YIYI,and the maintenance system is built on YOUSHU.Conclusion The maintenance system of infusion pump system is simple and clear,with good visualization effect.It can quickly analyze maintenance failures,reduce maintenance times and maintenance costs,ensure the safety of the equipment.Moreover,the system can be easily transferred to other medical equipment,and can carry on the whole life cycle data research.
分 类 号:TH77[机械工程—仪器科学与技术] R197.39[机械工程—精密仪器及机械]
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