Chinese Journal of Pharmacovigilance ›› 2022, Vol. 19 ›› Issue (3): 233-238.
DOI: 10.19803/j.1672-8629.2022.03.01

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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

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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