Suppr超能文献

医疗保健领域数字孪生的文献综述。

Literature review of digital twin in healthcare.

作者信息

Machado Tatiana Mallet, Berssaneti Fernando Tobal

机构信息

Production Engineering Department, Polytechnic School University of São Paulo, Av. Prof. Almeida Prado, Brazil.

出版信息

Heliyon. 2023 Aug 24;9(9):e19390. doi: 10.1016/j.heliyon.2023.e19390. eCollection 2023 Sep.

Abstract

This article aims to make a bibliometric literature review using systematic scientific mapping and content analysis of digital twins in healthcare to know the evolution, domain, keywords, content type, and kind and purpose of digital twin's implementation in healthcare, so a consolidation and future improvement of existing knowledge can be made and gaps for new studies can be identified. The increase in publications of digital twins in healthcare is quite recent and it is still concentrated in the domain of technology sources. The subject is majorly concentrated in patient's digital twin group and in precision medicine and aspects, issues and/or policies subgroups, although the publications keywords mirror it only at the group side. Digital twins in healthcare are probably stepping out of the infancy phase. On the other hand, digital twins in hospital group and the device and facilities management subgroups are more mature with all knowledge gathered from the manufacturing sector. There is an absence of some publication's types in general, device and care subgroup and no whole body or hospital digital twin was reported. Based on the presented arguments, guidelines for future research were presented: advance in the creation of general frameworks, in subgroups not as much explored, and in groups and subgroups already explored, but that need more advancement to achieve the main goals of a whole human or hospital digital twin with the main issues resolved.

摘要

本文旨在通过对医疗保健领域数字孪生的系统科学图谱绘制和内容分析进行文献计量学综述,以了解其在医疗保健领域的发展历程、领域、关键词、内容类型以及数字孪生实施的种类和目的,从而巩固和改进现有知识,并找出新研究的空白。医疗保健领域数字孪生的出版物数量增长是最近才出现的,并且仍然集中在技术来源领域。尽管出版物关键词仅在群体方面反映了这一点,但该主题主要集中在患者数字孪生群体以及精准医学和各个方面、问题和/或政策子群体。医疗保健领域的数字孪生可能正在走出起步阶段。另一方面,医院群体以及设备和设施管理子群体中的数字孪生由于从制造业收集了所有知识而更加成熟。总体而言,在设备和护理子群体中缺少一些出版物类型,并且没有报道过全身或医院数字孪生。基于上述论点,提出了未来研究的指导方针:在尚未充分探索的子群体以及已经探索但需要进一步推进以解决主要问题从而实现完整的人体或医院数字孪生主要目标的群体和子群体中,推进通用框架的创建。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97df/10558347/e0eb1143d08e/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验