Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Nov 21, 2023
Date Accepted: Nov 20, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: A Scoping Review
ABSTRACT
Background:
Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and potentially plays a significant role in advancing Rehabilomics research. This study explored the current status and potential benefits of implementing Rehabilomics strategies through cloud-based rehabilitation.
Objective:
The objective of this scoping review is to investigate the implementation of Rehabilomics strategies through cloud-based rehabilitation and to summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of Rehabilomics and provide insights into future research directions.
Methods:
In this scoping review, we systematically searched major academic databases to identify relevant studies and applied the predefined inclusion criteria to select relevant research. Subsequently, we analyzed the selected papers to identify trends and insights regarding cloud-based rehabilitation and Rehabilomics within the current research landscape.
Results:
This study reports the various applications and outcomes of implementing Rehabilomics strategies through cloud-based rehabilitation. Cloud platforms offer new possibilities for data sharing and collaboration in Rehabilomics research, underpinning a patient-centered approach, and enhancing the development of personalized therapeutic strategies.
Conclusions:
This scoping review highlights the potential significance of cloud-based Rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in Rehabilomics. Clinical Trial: The study protocol was registered in the Open Science Framework (https://doi.org/10.17605/OSF.IO/8M2TN).
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.