中国药物警戒 ›› 2022, Vol. 19 ›› Issue (3): 233-238.
DOI: 10.19803/j.1672-8629.2022.03.01

• 真实世界数据支持药械监测与评价专栏 • 上一篇    下一篇

真实世界数据在医疗器械上市后监测中的应用进展

滕颖影1,2, 李柴全1, 胥洋3, 唐迅1, 高培1,3,*   

  1. 1北京大学公共卫生学院流行病与卫生统计系,北京100191;
    2国家药品监督管理局医疗器械技术审评中心,北京 100081;
    3北京大学临床研究所真实世界证据评价中心,北京 100191
  • 收稿日期:2021-11-14 出版日期:2022-03-15 发布日期:2022-03-16
  • 通讯作者: *高培,女,博士,研究员,医学统计方法学及应用研究、医疗大数据的数据挖掘和统计分析、心血管流行病学。E-mail:peigao@bjmu.edu.cn
  • 作者简介:滕颖影,男,在读博士,助理研究员,医疗器械临床评价、流行病与卫生统计学。
  • 基金资助:
    国家重点研发计划(2020YFC2003503); 中国药品监管科学行动计划重点项目:真实世界数据用于医疗器械临床评价的方法学研究

Progress in the application of real-world data in post-market surveillance of medical devices

TENG Yingying1,2, LI Chaiquan1, XU Yang3, TANG Xun1, GAO Pei1,3,*   

  1. 1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China;
    2Center for Medical Device Evaluation, NMPA, Beijing 100081, China;
    3Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
  • Received:2021-11-14 Online:2022-03-15 Published:2022-03-16

摘要: 目的 梳理总结真实世界数据在医疗器械上市后监测中的应用进展,为医疗器械监督管理部门提供监管依据。方法 从中国、美国和欧盟监管机构官网检索相关政策法规文件,同时检索国内外相关文献。结果 各国监管机构相继发布并一定程度更新了真实世界数据相关指南,唯一器械标识、通用数据模型、分布式健康数据网络等技术的发展有助于将多个数据源链接形成规模更大的数据库,自然语言处理技术则推动了电子病历/健康数据在上市后监测中的应用,越来越多的登记数据库,以及数字健康、可穿戴器械自身记录的数据均为上市后监测提供了有别于传统不良事件数据库的数据源,而安全信号自动监测技术则提高了医疗器械上市后监测的效率和及时性。结论 可用真实世界数据源日益增加和自动监测技术的发展推动真实世界数据在医疗器械上市后监测中的应用。

关键词: 真实世界数据, 医疗器械, 上市后监测, 真实世界证据, 法规, 登记数据, 主动监测

Abstract: Objective To summarize the progress of applying real-world data in medical device post-market surveillance, so as to provide supervision basis for medical device supervision and management department. Methods Relevant regulation and guidance documents were searched on the NMPA, FDA and EU official website, and relevant literatures were also searched. Results Regulatory agencies from different countries successively issued and updated the guidelines for the application of real-world data. The development of the technologies, such as unique device identification, common data models, and distributed health data networks, helped link multiple data sources to form a larger database. Natural language processing technology also promoted the application of electronic medical records/health data in post-market surveillance. More and more registry data, as well as the data recorded by digital health and wearable devices, provided post-market surveillance extra data source that was different from traditional databases for collecting adverse events. The algorithms to detect safety signal automatically improved the efficiency and immediacy of the medical device post-market surveillance. Conclusion The increasing availability of real-world data sources and the development of automatic detection technologies have promoted the application of real-world data in post-market monitoring of medical devices.

Key words: real-world data, medical device, post-market surveillance, real-world evidence, regulations, registry data, automatic detection

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