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追踪医疗保健领域的区块链挑战:主题建模与文献计量分析

Tracing the Blockchain Challenges in Healthcare: A Topic Modeling and Bibliometric Analysis.

作者信息

Mehraeen Mohammad, Mahmoudi Laya

机构信息

Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran.

出版信息

Blockchain Healthc Today. 2024 Dec 20;7. doi: 10.30953/bhty.v7.335. eCollection 2024.

DOI:10.30953/bhty.v7.335
PMID:39995484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11848838/
Abstract

The application of blockchain technology to healthcare offers promise in providing solutions to some key challenges related to data sharing, privacy, security, and access control. However, several barriers prevent the widespread adoption of blockchain and prompted research efforts. This study aims to conduct a bibliometric analysis of 196 documents indexed in the Scopus database to examine their structure, impact, contributors, and journals. The bibliometric analysis provides information on the publication and citation structure, as well as the most productive authors, universities, countries, journals, and most cited studies. In addition, it identifies the most prevalent keywords and their co-occurrence patterns on blockchain challenges in healthcare. A topic modeling approach, using Latent Dirichlet Allocation (LDA), is also employed to reveal the latent topical structure of this literature. As a result of these findings, the research landscape in this area has been quantitatively analyzed, identifying six critical challenges regarding the use of blockchain in healthcare: data privacy/security, integration with smart devices, interoperability, scalability, governance, and cost.

摘要

区块链技术在医疗保健领域的应用有望为一些与数据共享、隐私、安全和访问控制相关的关键挑战提供解决方案。然而,若干障碍阻碍了区块链的广泛采用,并促使人们开展研究工作。本研究旨在对Scopus数据库中索引的196篇文献进行文献计量分析,以考察其结构、影响力、贡献者和期刊。文献计量分析提供了关于出版和引用结构的信息,以及最多产的作者、大学、国家、期刊和被引用最多的研究。此外,它还识别了关于医疗保健领域区块链挑战的最普遍关键词及其共现模式。还采用了一种主题建模方法,即潜在狄利克雷分配(LDA),来揭示该文献的潜在主题结构。基于这些发现,对该领域的研究状况进行了定量分析,确定了在医疗保健中使用区块链的六个关键挑战:数据隐私/安全、与智能设备的集成、互操作性、可扩展性、治理和成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/4efdbae8495e/BHTY-7-335-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/06c5a83a3e99/BHTY-7-335-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/13ce0cf9676a/BHTY-7-335-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/da08ca4bfddb/BHTY-7-335-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/4efdbae8495e/BHTY-7-335-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/06c5a83a3e99/BHTY-7-335-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/13ce0cf9676a/BHTY-7-335-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/da08ca4bfddb/BHTY-7-335-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11848838/4efdbae8495e/BHTY-7-335-g007.jpg

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本文引用的文献

1
Comprehensive review for healthcare data quality challenges in blockchain technology.区块链技术中医疗数据质量挑战的综合综述
Front Big Data. 2023 May 12;6:1173620. doi: 10.3389/fdata.2023.1173620. eCollection 2023.
2
AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions.用于公共卫生的人工智能驱动的区块链技术:当代综述、公开挑战及未来研究方向
Healthcare (Basel). 2022 Dec 27;11(1):81. doi: 10.3390/healthcare11010081.