在家进行数字康复的技术:范围审查
Angela Arntz1,2, Franziska Weber1,3, Marietta Handgraaf1
1Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.
JMIR rehabilitation and assistive technologies
|May 30, 2023
概括
数字康复 (DR) 提供了家庭护理的解决方案,人工智能和机器学习将改变这一领域. 虽然疫情增加了远程DR的使用,但并没有刺激新技术的发展.
科学领域:
- 康复医学 康复医学 康复医学
- 医疗信息学 医疗信息学
- 数字卫生技术数字卫生技术
背景情况:
- 对医疗保健系统日益增长的压力迫使人们转向家庭康复.
- 目前对家庭康复的现有支持不足,COVID-19大流行加剧了这一挑战.
- 数字康复 (DR) 提出了一个潜在的解决方案,以提高家庭护理和解决系统压力.
研究的目的:
- 为了确定当前的数字技术,以家庭为基础的DR.
- 预测DR的新兴趋势.
- 分析COVID-19大流行对Dr.的影响.
主要方法:
- 根据Arksey和O'Malley框架进行的范围审查,Levac等增强了Levac等.
- 从2015年1月到2022年1月,在主要数据库 (PubMed,Embase,CINAHL,PsycINFO,Cochrane Library) 进行了广泛的文献搜索.
- 采用了文献计量,同时出现,全文和灰色文献分析.
主要成果:
- 传感器,机器人,游戏化,VR/AR和移动应用程序是当前家庭DR工具.
- 人工智能 (AI),机器学习 (ML),外骨和移动应用程序是新兴趋势.
- 虽然COVID-19大流行加速了远程DR的采用,但并没有推动创建新技术.
结论:
- 虽然存在各种DR工具,但家庭应用的局限性仍然存在.
- 人工智能和机器学习具有重塑康复和应对未来医疗保健挑战的巨大潜力.
- 有效实施DR需要可行,以客户为中心的方法,适应各种情况,包括流行病.
关键词:
在这里,我们可以看到AIAIAI.在COVID-19大流行中,人工智能的人工智能是人工智能.数字健康干预是数字健康干预.数字化康复数字化康复数字技术数字技术的使用.在家进行康复治疗.机器学习是机器学习.移动应用程序移动应用程序手机电话手机电话手机电话远程健康远程健康范围审查 范围审查 范围审查更多相关视频
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