新质生产力视角下中国智能健康医疗专利的创新态势研究OACSTPCD
Research on the Innovation Trends of China's Patents in Intelligent Health and Medical Care from the Perspective of New Quality Productivity
目的 通过分析智能健康医疗领域专利信息,度量领域科技创新能力,探讨该领域新质生产力的发展态势.方法 在国家知识产权局专利检索及分析系统中获取建库起至2023年12月31日的智能健康医疗类专利,对专利申请量时间趋势、申请人类型分布及地区布局等基本情况进行统计分析.采用共现网络和BERTopic主题聚类方法对专利技术主题及其阶段演进态势进行深入剖析.结果 我国智能健康医疗领域专利的申请量呈指数型增长,从1988年首项专利申请到2023年该领域累计申请12217项专利;可划分为萌芽探索期(1988-2010年)、稳步成长期(2011-2015年)、快速崛起期(2016-2020年)和创新繁荣期(2021年—)4个时期.第一申请人的地区、类型差异明显.关键技术主要集中于G16H(医疗保健信息学)和A61B(诊断;外科;鉴定)领域.常见主题包括人工智能系统、AI识别、存储介质、机器学习、推荐模型、心血管疾病与心理疾病以及CT图像处理.技术演进态势上,A61B在整个发展历程中始终占据重要地位,从萌芽探索期、稳步成长期、快速崛起期到创新繁荣期,相关专利主题在广度和深度上不断拓展,由早期聚焦的临床实践应用,逐步渗透到健康管理、疾病预防、康复护理等多个领域.结论 以人工智能为代表的健康医疗领域新质生产力正在逐步形成并加速发展.未来,智能健康医疗产业的发展可从政策导向、科研投入、人才储备等多个维度进行综合推动,以实现健康医疗领域生产力的进一步革新与升级.
Objective To discuss the development trend of new quality productivity in the field by analyzing the patent information in the field of intelligent health and medical care and measuring the technological innovation ability in the field.Methods The intelligent health and medical care patents from the establishment of the database to December 31,2023 were obtained from the Patent Search and Analysis system of China National Intellectual Property Administration,and the basic information such as the time trend of the number of patent applications,the distribution of applicant types and regional layout were statistically analyzed.The co-occurrence network and BERTopic theme clustering method were used to deeply analyze the technological themes of patents and their evolutionary trends.Results The number of patent applications in the field of intelligent health and medical care in China increased exponentially,from the first patent application in 1988 to the cumulative application of 12217 patents in 2023.It could be divided into four periods:budding exploration period(1988-2010),steady growth period(2011-2015),rapid rise period(2016-2020)and innovative prosperity period(2021-).The regions and types of the first applicants differed significantly.The key technologies were mainly concentrated in G16H(healthcare informatics)and A61B(diagnostics;department of surgery;identification)field.The common topics included artificial intelligence systems,AI recognition,storage media,machine learning,recommendation models,cardiovascular diseases and mental disorders,and CT image processing.In terms of technological evolution,A61B always occupied an important position in the entire development process,from budding exploration period,steady growth period,rapid rise period to innovative prosperity period,the relevant patent topics continued to expand in breadth and depth,from the early focus of clinical practice application,and gradually penetrated into many fields such as health management,disease prevention,rehabilitation and nursing.Conclusion The new quality productivity in the field of health and medical care represented by artificial intelligence is gradually taking shape and accelerating its development.In the future,the development of the intelligent health and medical industry can be comprehensively promoted from multiple dimensions such as policy orientation,scientific research investment,and talent reserve to achieve further innovation and upgrading of productivity in the health and medical field.
杨惠雯;范科鸣;玄熠;郭凤英;王若佳
北京中医药大学 管理学院,北京 102401北京中医药大学 管理学院,北京 102401西南财经大学 管理科学与工程学院,四川 成都 611130北京中医药大学 管理学院,北京 102401北京中医药大学 管理学院,北京 102401
医药卫生
新质生产力专利分析人工智能智能健康医疗技术共现网络BERTopic聚类技术演进
new quality productivitypatent analysisartificial intelligenceintelligent health and medical caretechnology co-occurrence networkBERTopic clusteringtechnological evolution
《中国医疗设备》 2025 (4)
116-123,8
教育部中国高校产学研创新基金(2021LDA12004).
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