Advancing emergency care with digital twins
File(s)
Published version
Author(s)
Li, Haoran
Zhang, Jingya
Zhang, Ning
Zhu, Bin
Type
Journal Article
Abstract
Digital twins—dynamic and real-time simulations of systems or environments—represent a paradigm shift in emergency medicine. We explore their applications across prehospital care, in-hospital management, and recovery. By integrating real-time data, wearable technology, and predictive analytics, digital twins hold the promise of optimizing resource allocation, advancing precision medicine, and tailoring rehabilitation strategies. Moreover, we discuss the challenges associated with their implementation, including data resolution, biological heterogeneity, and ethical considerations, emphasizing the need for actionable frameworks that balance innovation with data governance and public trust.
Date Issued
2025-04-21
Date Acceptance
2025-04-12
Citation
JMIR Aging, 2025, 8
ISSN
2561-7605
Publisher
JMIR Publications
Journal / Book Title
JMIR Aging
Volume
8
Copyright Statement
©Haoran Li, Jingya Zhang, Ning Zhang, Bin Zhu. Originally published in JMIR Aging (https://aging.jmir.org), 21.04.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.
License URL
Publication Status
Published
Article Number
e71777
Date Publish Online
2025-04-21