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移动设备与健康
Mobile Devices and Health


Ida Sim ... 其他 • 2019.09.05

移动医疗(应用传感器、移动应用程序、社交媒体和位置跟踪技术,获取与健康及疾病诊断、预防和治疗相关的数据)从理论上使随时随地监测和干预急慢性疾病成为可能。北美81%的成年人拥有智能手机1,因而这一前沿应用有望在可预见的未来于美国实现,而且在慢性病管理方面尤其有意义。超过40%的美国成年人患两种或两种以上的慢性病2,而慢性病目前占美国医疗总支出的71% 3,因此移动医疗的前景尤其引人关注。

移动医疗正处在遥感、面向消费者的个人技术和人工智能(AI)的漩涡式融合之中。智能手机应用程序(俗称“app”)的数据和越来越多的可穿戴传感器和环境传感器的数据可以通过机器学习和其他AI技术来处理,从而支持医疗决策。我在本文中综述了传感、数字生物标志物和数字疗法(利用在线技术治疗行为和身体状况)的现状;讨论了将移动医疗纳入临床治疗所面临的挑战;并描述了移动医疗面临的监管、商业和伦理问题。我不讨论仅供医疗专业人员在医疗机构中使用的传感器和app。由于移动医疗是一项新兴技术,而且通常缺乏证明其临床有效性(validity)的严格证据,因此我不计划对现有系统进行综述,而是为医师和政策制定者提供了一个概述,帮助其了解这个快速发展领域的关键方面(见视频,可在NEJM.org获取)。





作者信息

Ida Sim, M.D., Ph.D.
From the Division of General Internal Medicine, University of California, San Francisco, San Francisco. Address reprint requests to Dr. Sim at the University of California, San Francisco, 1545 Divisadero St., Suite 308, San Francisco, CA 94143-0320, or at ida.sim@ucsf.edu.

 

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