{"title":"Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review.","authors":"Sejun Oh, SangHeon Lee","doi":"10.2196/54790","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e54790"},"PeriodicalIF":6.0000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11815311/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/54790","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
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 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.
Objective: 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.
Methods: 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.
Results: 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.
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.
背景:康复组学,或将康复学与基因组学、蛋白质组学、代谢组学和其他“组学”领域相结合,旨在促进个性化康复护理方法。基于云的康复提供了简化的患者数据管理和共享,并可能在推进康复组学研究中发挥重要作用。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效益。目的:本综述旨在通过基于云的康复来研究康复组学策略的实施,并总结研究领域内的知识现状。本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。方法:在本范围综述中,我们系统地检索了主要的学术数据库,包括CINAHL、Embase、谷歌Scholar、PubMed、MEDLINE、ScienceDirect、Scopus和Web of Science,以确定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,以确定在本研究范围内关于基于云的康复和康复组学的趋势和见解。结果: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项研究进行了综合分析,其中16项(57%)侧重于个性化康复,12项(43%)侧重于数据安全和隐私。基于特定关键词的28项研究中,有3篇(11%)关于云,4篇(14%)关于平台,4篇(14%)关于医院和康复中心,5篇(18%)关于远程医疗,5篇(18%)关于家庭和社区,7篇(25%)关于疾病和残疾。云平台为康复组学研究的数据共享和协作提供了新的可能性,支撑了以患者为中心的方法,并促进了个性化治疗策略的发展。结论:这一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意义。云平台的使用有望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战略和治疗发展。
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor.
Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.