• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国食品和药物管理局批准的软件作为医疗器械的创新过程和工业体系:综述与内容分析。

Innovation Process and Industrial System of US Food and Drug Administration-Approved Software as a Medical Device: Review and Content Analysis.

机构信息

Department of Technology and Innovation Management, School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan.

Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.

出版信息

J Med Internet Res. 2023 Nov 24;25:e47505. doi: 10.2196/47505.

DOI:10.2196/47505
PMID:37999948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10709785/
Abstract

BACKGROUND

There has been a surge in academic and business interest in software as a medical device (SaMD). SaMD enables medical professionals to streamline existing medical practices and make innovative medical processes such as digital therapeutics a reality. Furthermore, SaMD is a billion-dollar market. However, SaMD is not clearly understood as a technological change and emerging industry.

OBJECTIVE

This study aims to review the landscape of SaMD in response to increasing interest in SaMD within health systems and regulation. The objectives of the study are to (1) clarify the innovation process of SaMD, (2) identify the prevailing typology of such innovation, and (3) elucidate the underlying mechanisms driving the SaMD innovation process.

METHODS

We collected product information on 581 US Food and Drug Administration-approved SaMDs from the OpenFDA website and 268 company profiles of the corresponding manufacturers from Crunchbase, Bloomberg, PichBook.com, and other company websites. In addition to assessing the metadata of SaMD, we used correspondence and business process analysis to assess the distribution of intended use and how SaMDs interact with other devices in the medical process.

RESULTS

The current SaMD industry is highly concentrated in medical image processing and radiological analysis. Incumbents in the medical device industry currently lead the market and focus on incremental innovation, whereas new entrants, particularly startups, produce more disruptive innovation. We found that hardware medical device functions as a complementary asset for SaMD, whereas how SaMD interacts with the complementary asset differs according to its intended use. Based on these findings, we propose a regime map that illustrates the SaMD innovation process.

CONCLUSIONS

SaMD, as an industry, is nascent and dominated by incremental innovation. The innovation process of the present SaMD industry is shaped by data accessibility, which is key to building disruptive innovation.

摘要

背景

学术和商业界对软件即医疗器械(SaMD)的兴趣激增。SaMD 使医疗专业人员能够简化现有的医疗实践,并使数字疗法等创新的医疗流程成为现实。此外,SaMD 是一个价值数十亿美元的市场。然而,作为一种技术变革和新兴产业,SaMD 尚未被清晰理解。

目的

本研究旨在审查 SaMD 的现状,以应对医疗系统和监管对 SaMD 日益增长的兴趣。本研究的目的是:(1)阐明 SaMD 的创新过程;(2)确定此类创新的普遍类型;(3)阐明推动 SaMD 创新过程的潜在机制。

方法

我们从 OpenFDA 网站上收集了 581 种获得美国食品和药物管理局批准的 SaMD 的产品信息,并从 Crunchbase、Bloomberg、PichBook.com 和其他公司网站上收集了 268 家制造商的公司简介。除了评估 SaMD 的元数据外,我们还使用了对应分析和业务流程分析来评估预期用途的分布以及 SaMD 如何与医疗流程中的其他设备相互作用。

结果

当前的 SaMD 行业高度集中在医学图像处理和放射学分析领域。医疗器械行业的现有企业目前主导着市场,专注于增量创新,而新进入者,特别是初创企业,则产生更多的颠覆性创新。我们发现,硬件医疗器械是 SaMD 的互补资产,而 SaMD 与互补资产的相互作用方式则因其预期用途而异。基于这些发现,我们提出了一个制度图来阐明 SaMD 的创新过程。

结论

作为一个行业,SaMD 还处于萌芽阶段,以增量创新为主。当前 SaMD 行业的创新过程受到数据可访问性的影响,这是建立颠覆性创新的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/990862af84be/jmir_v25i1e47505_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/c5cc08c5629e/jmir_v25i1e47505_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/bd46c379b4c4/jmir_v25i1e47505_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/754d2ca53cfe/jmir_v25i1e47505_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/990862af84be/jmir_v25i1e47505_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/c5cc08c5629e/jmir_v25i1e47505_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/bd46c379b4c4/jmir_v25i1e47505_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/754d2ca53cfe/jmir_v25i1e47505_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d40/10709785/990862af84be/jmir_v25i1e47505_fig4.jpg

相似文献

1
Innovation Process and Industrial System of US Food and Drug Administration-Approved Software as a Medical Device: Review and Content Analysis.美国食品和药物管理局批准的软件作为医疗器械的创新过程和工业体系:综述与内容分析。
J Med Internet Res. 2023 Nov 24;25:e47505. doi: 10.2196/47505.
2
Tracking the Presence of Software as a Medical Device in US Food and Drug Administration Databases: Retrospective Data Analysis.追踪美国食品药品监督管理局数据库中作为医疗器械的软件的存在情况:回顾性数据分析。
JMIR Biomed Eng. 2021 Nov 3;6(4):e20652. doi: 10.2196/20652.
3
The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software.美国突破性设备认定和韩国数字健康软件创新医疗器械认定的现状。
Expert Rev Med Devices. 2022 Mar;19(3):213-228. doi: 10.1080/17434440.2022.2051479. Epub 2022 Mar 23.
4
Methodology for Conducting Post-Marketing Surveillance of Software as a Medical Device Based on Artificial Intelligence Technologies.基于人工智能技术的医疗器械软件上市后监测方法学。
Sovrem Tekhnologii Med. 2022;14(5):15-23. doi: 10.17691/stm2022.14.5.02. Epub 2022 Sep 29.
5
Minimum labelling requirements for dermatology artificial intelligence-based Software as Medical Device (SaMD): A consensus statement.基于人工智能的皮肤病学医疗器械软件(SaMD)的最低标签要求:共识声明。
Australas J Dermatol. 2024 May;65(3):e21-e29. doi: 10.1111/ajd.14222. Epub 2024 Feb 28.
6
Changes in software as a medical device based on artificial intelligence technologies.人工智能技术驱动的软件医疗器械的变化。
Int J Comput Assist Radiol Surg. 2022 Oct;17(10):1969-1977. doi: 10.1007/s11548-022-02669-1. Epub 2022 Jun 13.
7
Digital Tools-Regulatory Considerations for Application in Clinical Trials.数字工具——临床试验应用的监管考虑因素。
Ther Innov Regul Sci. 2023 Jul;57(4):769-782. doi: 10.1007/s43441-023-00535-z. Epub 2023 May 17.
8
Clinical Simulation in the Regulation of Software as a Medical Device: An eDelphi Study.作为医疗器械的软件监管中的临床模拟:一项电子德尔菲研究。
JMIR Form Res. 2024 Jun 25;8:e56241. doi: 10.2196/56241.
9
Collection and Analysis of Adherence Information for Software as a Medical Device Clinical Trials: Systematic Review.医疗器械软件临床试验中依从性信息的收集和分析:系统评价。
JMIR Mhealth Uhealth. 2023 Nov 15;11:e46237. doi: 10.2196/46237.
10
Examining labelling guidelines for AI-based software as a medical device: A review and analysis of dermatology mobile applications in Australia.检查人工智能软件作为医疗器械的标签指南:对澳大利亚皮肤科移动应用程序的审查和分析。
Australas J Dermatol. 2024 Aug;65(5):409-422. doi: 10.1111/ajd.14269. Epub 2024 May 1.

引用本文的文献

1
Integration of wearable devices and artificial intelligence in Alzheimer's disease: A scoping review protocol.可穿戴设备与人工智能在阿尔茨海默病中的整合:一项范围综述方案
PLoS One. 2025 Sep 12;20(9):e0331129. doi: 10.1371/journal.pone.0331129. eCollection 2025.
2
United States Food and Drug Administration Regulation of Clinical Software in the Era of Artificial Intelligence and Machine Learning.美国食品药品监督管理局对人工智能和机器学习时代临床软件的监管
Mayo Clin Proc Digit Health. 2025 May 27;3(3):100231. doi: 10.1016/j.mcpdig.2025.100231. eCollection 2025 Sep.
3
A Business Model Framework for Software as a Medical Device Startups in the European Union: Mixed Methods Study.

本文引用的文献

1
Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review.截至2020年日本监管部门批准的基于深度学习/机器学习的医疗设备:一项系统综述。
PLOS Digit Health. 2022 Jan 18;1(1):e0000001. doi: 10.1371/journal.pdig.0000001. eCollection 2022 Jan.
2
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals.医学人工智能设备的评估方式:基于对美国食品药品监督管理局批准情况分析的局限性与建议
Nat Med. 2021 Apr;27(4):582-584. doi: 10.1038/s41591-021-01312-x.
3
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.
欧盟医疗软件初创企业的商业模式框架:混合方法研究
J Med Internet Res. 2025 May 23;27:e67328. doi: 10.2196/67328.
4
Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review.自新冠疫情爆发以来低收入和中等收入国家医院环境中数字健康技术实施的促进因素和障碍:范围审查
J Med Internet Res. 2025 Mar 6;27:e63482. doi: 10.2196/63482.
5
Driving Innovation Through Regulatory Design and Corporate Behaviour: A Case Study of Functional Food Industry in Japan.通过监管设计与企业行为推动创新:以日本功能性食品行业为例
Foods. 2024 Oct 18;13(20):3302. doi: 10.3390/foods13203302.
美国和欧洲对人工智能和基于机器学习的医疗器械的审批(2015-20):比较分析。
Lancet Digit Health. 2021 Mar;3(3):e195-e203. doi: 10.1016/S2589-7500(20)30292-2. Epub 2021 Jan 18.
4
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.基于人工智能且获美国食品药品监督管理局批准的医疗设备及算法的现状:一个在线数据库。
NPJ Digit Med. 2020 Sep 11;3:118. doi: 10.1038/s41746-020-00324-0. eCollection 2020.
5
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device.需要一种系统观点来将基于人工智能/机器学习的软件作为医疗设备进行监管。
NPJ Digit Med. 2020 Apr 7;3:53. doi: 10.1038/s41746-020-0262-2. eCollection 2020.
6
Cybersecurity features of digital medical devices: an analysis of FDA product summaries.数字医疗设备的网络安全特性:对 FDA 产品摘要的分析。
BMJ Open. 2019 Jun 28;9(6):e025374. doi: 10.1136/bmjopen-2018-025374.
7
Innovation process of mHealth: An overview of FDA-approved mobile medical applications.移动医疗的创新过程:FDA 批准的移动医疗应用概述。
Int J Med Inform. 2018 Oct;118:65-71. doi: 10.1016/j.ijmedinf.2018.07.004. Epub 2018 Aug 3.
8
Building a business model in digital medicine.构建数字医学商业模式。
Nat Biotechnol. 2015 Sep;33(9):910-20. doi: 10.1038/nbt.3339.
9
Digital Health: Hope, Hype, and Amara's Law.数字健康:希望、炒作与阿玛拉定律
Gastroenterology. 2015 Sep;149(3):516-20. doi: 10.1053/j.gastro.2015.07.024. Epub 2015 Jul 27.
10
Defining digital medicine.定义数字医学。
Nat Biotechnol. 2015 May;33(5):456-61. doi: 10.1038/nbt.3222.