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Evolution of Digital Health and Exploration of Patented Technologies (2017-2021): Bibliometric Analysis.

作者信息

Gu Wenjun, Wang Jinhua, Zhang Yunqi, Liang Shaolin, Ai Zisheng, Li Jiyu

机构信息

School of Medicine, Tongji University, Shanghai, China.

Shanghai Institute of Medical Innovation Technology Transfer, Shanghai, China.

出版信息

Interact J Med Res. 2024 Jul 11;13:e48259. doi: 10.2196/48259.


DOI:10.2196/48259
PMID:38991212
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11273069/
Abstract

BACKGROUND: The significant impact of digital health emerged prominently during the COVID-19 pandemic. Despite this, there is a paucity of bibliometric analyses focusing on technologies within the field of digital health patents. Patents offer a wealth of insights into technologies, commercial prospects, and competitive landscapes, often undisclosed in other publications. Given the rapid evolution of the digital health industry, safeguarding algorithms, software, and advanced surgical devices through patent systems is imperative. The patent system simultaneously acts as a valuable repository of technological knowledge, accessible to researchers. This accessibility facilitates the enhancement of existing technologies and the advancement of medical equipment, ultimately contributing to public health improvement and meeting public demands. OBJECTIVE: The primary objective of this study is to gain a more profound understanding of technology hotspots and development trends within the field of digital health. METHODS: Using a bibliometric analysis methodology, we assessed the global technological output reflected in patents on digital health published between 2017 and 2021. Using Citespace5.1R8 and Excel 2016, we conducted bibliometric visualization and comparative analyses of key metrics, including national contributions, institutional affiliations, inventor profiles, and technology topics. RESULTS: A total of 15,763 digital health patents were identified as published between 2017 and 2021. The China National Intellectual Property Administration secured the top position with 7253 published patents, whereas Koninklijke Philips emerged as the leading institution with 329 patents. Notably, Assaf Govari emerged as the most prolific inventor. Technology hot spots encompassed categories such as "Medical Equipment and Information Systems," "Image Analysis," and "Electrical Diagnosis," classified by Derwent Manual Code. A patent related to the technique of receiving and transmitting data through microchips garnered the highest citation, attributed to the patentee Covidien LP. CONCLUSIONS: The trajectory of digital health patents has been growing since 2017, primarily propelled by China, the United States, and Japan. Applications in health interventions and enhancements in surgical devices represent the predominant scenarios for digital health technology. Algorithms emerged as the pivotal technologies protected by patents, whereas techniques related to data transfer, storage, and exchange in the digital health domain are anticipated to be focal points in forthcoming basic research.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/d60caefc89c0/ijmr_v13i1e48259_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/e00bedc3c00c/ijmr_v13i1e48259_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/ba856300f28c/ijmr_v13i1e48259_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/ca35258a7db0/ijmr_v13i1e48259_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/71e11ac64c6c/ijmr_v13i1e48259_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/e2b770aa53a7/ijmr_v13i1e48259_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/5bb81e9e2f03/ijmr_v13i1e48259_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/d60caefc89c0/ijmr_v13i1e48259_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/e00bedc3c00c/ijmr_v13i1e48259_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/ba856300f28c/ijmr_v13i1e48259_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/ca35258a7db0/ijmr_v13i1e48259_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/71e11ac64c6c/ijmr_v13i1e48259_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/e2b770aa53a7/ijmr_v13i1e48259_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/5bb81e9e2f03/ijmr_v13i1e48259_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/11273069/d60caefc89c0/ijmr_v13i1e48259_fig7.jpg

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BMC Psychiatry. 2025-4-22

本文引用的文献

[1]
Digital Health Literacy: Bibliometric Analysis.

J Med Internet Res. 2022-7-6

[2]
Cognitive behavioral therapy delivered via digital mobile application for the treatment of type 2 diabetes: Rationale, design, and baseline characteristics of a randomized, controlled trial.

Clin Cardiol. 2022-8

[3]
A critical review of the role of technology and context in digital health research.

Digit Health. 2022-6-22

[4]
Self-guided virtual reality therapy for social anxiety disorder: a study protocol for a randomized controlled trial.

Trials. 2022-5-12

[5]
Changing face of healthcare: digital therapeutics in the management of diabetes.

Curr Med Res Opin. 2021-12

[6]
The geographies of digital health - Digital therapeutic landscapes and mobilities.

Health Place. 2021-7

[7]
Digital therapeutics in neurology.

J Neurol. 2022-3

[8]
Freshwater microplastics pollution: Detecting and visualizing emerging trends based on Citespace II.

Chemosphere. 2019-12-11

[9]
Trends and Visibility of "Digital Health" as a Keyword in Articles by JMIR Publications in the New Millennium: Bibliographic-Bibliometric Analysis.

J Med Internet Res. 2019-12-19

[10]
Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

BMJ Open. 2019-7-23

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