自然语言处理在医疗设备采购参数制订中的应用价值研究  

Research on the application value of natural language processing in the formulation of medical equipment procurement parameters

作　　者：车雪松[1] 张敏[1] 卢东生[1] 刘达洋 Che Xuesong;Zhang Min;Lu Dongsheng;Liu Dayang(Department of Medical Engineering,Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China)

机构地区：[1]首都医科大学附属北京友谊医院医学工程处,北京100050

出　　处：《中国医学装备》2024年第6期161-166,共6页China Medical Equipment

摘　　要：目的:构建智能化医疗设备采购参数生成系统,实现医疗设备采购参数制订表达清晰和需求匹配精准,提高招标结果的认可度和招标效率。方法:基于自然语言处理(NLP)、网络爬虫和机器学习方法,构建自动化数据更新机制,实现海量采购参数数据提取,并将实体识别方法用于既往采购参数数据分析,实现医疗设备信息及参数名称等实体自动化提取,基于相似性设备推荐及医疗设备模板派生方法,采用向导式交互工具构建智能化医疗设备采购参数生成系统。对比采用智能化医疗设备采购参数生成系统与4名具有3年采购经验的招标采购人员进行10份医疗设备采购参数文件制订的差异。结果:采用智能化医疗设备采购参数生成系统的医疗设备采购参数文件平均生成时长为15.23min,而招标采购人员制订医疗设备采购参数文件平均时长为173.40min。经招标采购专家评估,采用智能化医疗设备采购参数生成系统生成医疗设备采购参数文件效率及质量均优于3年采购经验招标采购人员制订的医疗设备采购参数文件。结论:智能化医疗设备采购参数生成系统应用于医疗设备采购参数制订,可实现医疗设备采购参数的专业信息采集、存储和管理,缩短医疗设备采购参数制订周期,为医疗设备招标采购从业人员提供智能化辅助生成工具,提高采购参数制订效能,提升医疗设备采购效率。Objective:To construct an intelligent medical equipment procurement parameter generation system to achieve clear expression of medical equipment procurement parameters formulation and accurate demand matching,and to improve the recognition of bidding results and bidding efficiency.Methods:Based on natural language processing(NLP),web crawler and machine learning methods,an automatic data update mechanism was built to achieve massive procurement parameter data extraction,and the entity recognition method was used for the analysis of past procurement parameter data to realize the automatic extraction of entities such as medical equipment information and parameter names.Based on the similarity device recommendation and medical equipment template derivation method,an intelligent medical equipment procurement parameter generation system was constructed by using a wizard-based interactive tool.The difference between the use of intelligent medical equipment procurement parameter generation system and by 4 four three-year-experienced bidding and procurement personnel in the formulation of 10 medical equipment procurement parameter documents was compared.Results:The average generation time of medical equipment procurement parameter files using the intelligent medical equipment procurement parameter generation system was 15.23 minutes,the average time for of medical equipment procurement parameter files formulated by bidding and procurement personnel was 173.40 minutes.According to the evaluation of bidding procurement experts,the efficiency and quality of the medical equipment procurement parameter file generated by the intelligent medical equipment procurement parameter generation system were better than those formulated by three-year-experienced bidding procurement personnel.Conclusion:The application of intelligent medical equipment procurement parameter generation system to the formulation of medical equipment procurement parameters can achieve professional information collection,storage,and management of medical equi

关 键 词：自然语言处理(NLP) 医疗设备 招标采购 参数制订 命名实体识别 

分 类 号：R197.39[医药卫生—卫生事业管理]