Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: A Scoping Review (Preprint)

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. CLINICALTRIAL The study protocol was registered in the Open Science Framework (https://doi.org/10.17605/OSF.IO/8M2TN).