Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review

Area of Science:

• Rehabilitation Medicine
• Bioinformatics
• Health Informatics

Background:

• Rehabilomics integrates rehabilitation with various '-omics' fields to personalize patient care.
• Cloud-based rehabilitation facilitates data management and sharing, crucial for advancing rehabilomics.
• This study explores the current implementation and benefits of rehabilomics through cloud platforms.

Purpose of the Study:

• To conduct a scoping review on the implementation of rehabilomics strategies using cloud-based rehabilitation.
• To summarize the existing knowledge on cloud platforms' impact on rehabilomics.
• To identify future research directions in this interdisciplinary domain.

Main Methods:

• Systematic literature search across major academic databases (CINAHL, Embase, PubMed, Scopus, Web of Science).
• Inclusion criteria applied to select relevant studies.
• Analysis of 28 selected papers to identify trends in cloud-based rehabilitation and rehabilomics.

Main Results:

• Analysis of 28 studies revealed a focus on personalized rehabilitation (57%) and data security/privacy (43%).
• Key themes included cloud platforms (11%), telehealth (18%), and disease/disability (25%).
• Cloud platforms enable enhanced data sharing and collaboration, supporting patient-centered rehabilomics.

Conclusions:

• Cloud-based rehabilomics strategies hold significant potential for the future of rehabilitation.
• Cloud platforms are poised to improve patient-centered data management and collaborative research.
• This approach will drive innovation in therapeutic strategies and advancements within rehabilomics.