Oh Sejun, Lee SangHeon
Korea University Anam Hospital, Seoul, Republic of Korea.
Human Behavior & Genetic Institute, Associate Research Center, Korea University, Seoul, Republic of Korea.
J Med Internet Res. 2025 Jan 28;27:e54790. doi: 10.2196/54790.
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 could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation.
This scoping review aimed to investigate the implementation of rehabilomics strategies through cloud-based rehabilitation and 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.
In this scoping review, we systematically searched major academic databases, including CINAHL, Embase, Google Scholar, PubMed, MEDLINE, ScienceDirect, Scopus, and Web of Science to identify relevant studies and apply predefined inclusion criteria to select appropriate studies. Subsequently, we analyzed 28 selected papers to identify trends and insights regarding cloud-based rehabilitation and rehabilomics within this study's landscape.
This study reports the various applications and outcomes of implementing rehabilomics strategies through cloud-based rehabilitation. In particular, a comprehensive analysis was conducted on 28 studies, including 16 (57%) focused on personalized rehabilitation and 12 (43%) on data security and privacy. The distribution of articles among the 28 studies based on specific keywords included 3 (11%) on the cloud, 4 (14%) on platforms, 4 (14%) on hospitals and rehabilitation centers, 5 (18%) on telehealth, 5 (18%) on home and community, and 7 (25%) on disease and disability. 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.
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.
康复组学,即将康复与基因组学、蛋白质组学、代谢组学及其他“组学”领域相结合,旨在推动康复护理的个性化方法。基于云的康复提供了简化的患者数据管理和共享,并且可能在推进康复组学研究方面发挥重要作用。本研究探讨了通过基于云的康复实施康复组学策略的现状和潜在益处。
本范围综述旨在调查通过基于云的康复实施康复组学策略的情况,并总结该研究领域内的现有知识状态。该分析旨在了解云平台对康复组学领域的影响,并为未来的研究方向提供见解。
在本范围综述中,我们系统地检索了主要学术数据库,包括CINAHL、Embase、谷歌学术、PubMed、MEDLINE、ScienceDirect、Scopus和Web of Science,以识别相关研究,并应用预定义的纳入标准选择合适的研究。随后,我们分析了28篇选定的论文,以确定本研究范围内基于云的康复和康复组学的趋势和见解。
本研究报告了通过基于云的康复实施康复组学策略的各种应用和结果。特别是,对28项研究进行了全面分析,其中16项(57%)关注个性化康复,12项(43%)关注数据安全和隐私。基于特定关键词的28项研究中文章的分布包括:3项(11%)关于云,4项(14%)关于平台,4项(14%)关于医院和康复中心,5项(18%)关于远程医疗,5项(18%)关于家庭和社区,7项(25%)关于疾病和残疾。云平台为康复组学研究中的数据共享和协作提供了新的可能性,支持以患者为中心的方法,并促进个性化治疗策略的发展。
本范围综述强调了基于云的康复组学策略在康复领域的潜在重要性。预计云平台的使用将加强以患者为中心的数据管理和协作,有助于推进康复组学的创新策略和治疗发展。