[1]肖非易李雪李睿赵琨郭武栋.医疗人工智能技术评估与监管的国际经验及启示[J].中国卫生质量管理,2023,30(07):058-62.[doi:10.13912/j.cnki.chqm.2023.30.7.13 ]
 XIAO Feiyi,LI Xue,LI Rui.International Experience and Implications of Medical Artificial Intelligence Technology Evaluation and Regulation[J].Chinese Health Quality Management,2023,30(07):058-62.[doi:10.13912/j.cnki.chqm.2023.30.7.13 ]
点击复制

医疗人工智能技术评估与监管的国际经验及启示
分享到:

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第30卷
期数:
2023年07期
页码:
058-62
栏目:
质量与信息化
出版日期:
2023-07-15

文章信息/Info

Title:
International Experience and Implications of Medical Artificial Intelligence Technology Evaluation and Regulation
作者:
肖非易李雪李睿赵琨郭武栋
国家卫生健康委卫生发展研究中心
Author(s):
XIAO FeiyiLI XueLI Rui
China National Health Development Research Center
关键词:
医疗人工智能医疗设备监管国际经验启示质量与信息化
Keywords:
Medical Artificial IntelligenceMedical Devices RegulationInternational ExperiencesEnlightenmentQuality and Information
分类号:
TP181;R197.1
DOI:
10.13912/j.cnki.chqm.2023.30.7.13
文献标志码:
A
摘要:
人工智能技术在生物技术、医学影像识别、药物研发、辅助诊断等领域发挥了重要作用。介绍了国际上关于医疗人工智能技术的评估与监管框架,包括英国的《数字卫生技术的证据标准框架》、美国的医疗器械独立软件预认证试点项目、欧盟的《可信赖人工智能道德准则》等,指出有效性与安全性是医疗人工智能技术评估与监管的前提,需制订符合我国国情的医疗人工智能设备分类标准,注重医疗人工智能产品的持续监管与风险控制。
Abstract:
Artificial intelligence (AI) technology has played an important role in biotechnology, medical image recognition, drug research and development, assisted diagnosis and other fields. This paper introduced the international evaluation and regulatory frameworks for medical AI technology, including the UK's Evidence Standard Framework for Digital Health Technology, the US's independent software precertification pilot project for medical devices, and the European Union's Code of Ethics for Trusted AI. It pointed out that effectiveness and safety are the preconditions for the evaluation and regulation of medical AI technology. It was necessary to draw up the classification standards of medical AI equipment according to our own characteristics, and pay attention to the continuous supervision and risk control of medical AI products.

参考文献/References:

.计算机科学与技术:人工智能[M].崔良沂,赵永昌,译.北京:清华大学出版社,2005:1-5. [3]HAMET P, TREMBLAY J. Artificial intelligence in medicine [J]. Metabolism: Clinical and Experimental, 2017, 69: 36-40. [4]蔡丽萍. 达芬奇手术机器人[A]//江西第十五次妇产科学学术年会论文集[C]. 南昌:江西省医学会,2016. [5]魏东海, STEVEN S, LOUIS R, 等. 从远程医疗到互联网+人工智能(AI)医疗看医疗数字化的演进[J]. 中国研究型医院, 2022, 9(5): 64-76. [6]孟岩,孙雪梅,王雪,等.人工智能技术应用于电子病历质控的研究与思考[J].中国卫生质量管理,2021,28(12):63-65. [7]国家药品监督管理局. 关于政协十三届全国委员会第三次会议第4356号(医疗体育类581号)提案答复的函 [Z].2020. [8]国家标准化管理委员会,中央网信办,国家发展改革委,等.关于印发《国家新一代人工智能标准体系建设指南》的通知:国标委联〔2020〕35号[EB/OL].(2020-07-27).http://www.thepaper.cn/newaDetail_ forward_ 8660010. [9]国家医疗保障局,国家卫生健康委,国家发展改革委,等. 关于印发《深化医疗服务价格改革试点方案》的通知 :医保发〔2021〕41号[EB/OL].(2021-08-31).http://www.nhsa.gov.cn/art/2021/8/31/art_104_6542.html. [10]国家医疗保障局. 关于完善骨科手术机器人“3D打印”等辅助操作价格及相关政策的指南(征求意见稿) [Z]. 2022. [11]AGENCY MAHPR. Government response to consultation on the future regulation of medical devices in the United Kingdom[Z]. 2022. [12]UNSWORTH H, DILLON B, COLLINSON L, et al. The NICE evidence standards framework for digital health and care technologies - developing and maintaining an innovative evidence framework with global impact [J]. Digital Health, 2021(7): 20-55. [13]张世庆, 邓洁,章金刚.美国医疗器械监管模式概述[J].中国医疗器械信息,2009, 15(10): 62-66,82. [14]ADMINISTRATION FAD. Proposed regulatory framework for modifications to Artificial Intelligence/Machine Learning (AI/ML)-based software as a medical device (SaMD) - discussion paper and request for feedback[Z]. 2021. [15]ADMINISTRATION FAD. Digital health software precertification (Pre-Cert) program [Z].2019. [16]EUROPEAN C.On artificial intelligence— a European approach to excellence and trust [Z].2020. [17]EUROPEAN C.Intelligence high-level expert group on artificial,ethics guidelines for trustworthy AI[Z]. 2019. [18]CASE W. Regulation of artificial intelligence in Europe and Japan[Z]. 2020. [19][日]医薬·生活衛生局. AI技術を利用した医療機器の医薬品医療機器法上の取扱にかかる対応について [Z].厚生労働省,2019.

更新日期/Last Update: 2023-07-15