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Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics?

Authors :
Charbonnier G
Consoli A
Bonnet L
Biondi A
Vuillier F
Rabenorosoa K
Mendes Pereira V
Moulin T
Source :
Digital health [Digit Health] 2024 May 15; Vol. 10, pp. 20552076241254986. Date of Electronic Publication: 2024 May 15 (Print Publication: 2024).
Publication Year :
2024

Abstract

Objective: Selected patients with large vessel occlusion (LVO) strokes can benefit from endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how quickly the patient receives treatment. Recent technological developments have led to the first neurointerventional treatments using robotic assistance, opening up the possibility of performing remote stroke interventions. Existing telestroke networks provide acute stroke care, including remote administration of intravenous thrombolysis (IVT). Therefore, the introduction of remote EVT in distant stroke centers requires an adaptation of the existing telestroke networks. The aim of this work was to propose a framework for centers that are potential candidates for telerobotics according to the resources currently available in these centers.<br />Methods: In this paper, we highlight the future challenges for including remote robotics in telestroke networks. A literature review provides potential solutions.<br />Results: Existing telestroke networks need to determine which centers to prioritize for remote robotic technologies based on objective criteria and cost-effectiveness analysis. Organizational challenges include regional coordination and specific protocols. Technological challenges mainly concern telecommunication networks.<br />Conclusions: Specific adaptations will be necessary if regional telestroke networks are to include remote robotics. Some of these can already be put in place, which could greatly help the future implementation of the technology.<br />Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.<br /> (© The Author(s) 2024.)

Details

Language :
English
ISSN :
2055-2076
Volume :
10
Database :
MEDLINE
Journal :
Digital health
Publication Type :
Academic Journal
Accession number :
38766366
Full Text :
https://doi.org/10.1177/20552076241254986