理论上,移动医疗(应用传感器、手机APP、社交媒体和定位技术,可获取与健康和疾病诊断、预防和管理有关的数据)使得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,因此移动医疗可预见在未来的美国成为现实,而且与慢性病的管理密切相关。超过40%的美国成年人患有两种或两种以上的慢性病,而目前慢性病占美国所有医疗总支出的71%,因此移动医疗的应用前景尤其具有吸引力。移动医疗正处于遥感、面向消费者的个人技术和人工智能的漩涡中。智能手机APP和不断增长的可穿戴传感器和环境传感器数据可经机器学习和其他人工智能技术处理,以支持医疗决策。该文作者回顾了传感、数字生物标志物和数字医疗(使用在线技术治疗行为和身体状况)的现状; 讨论了将移动医疗融入临床治疗面临的挑战; 并描述了移动医疗面临的监管、商业和伦理问题。

Mobile health (the application of sensors, mobile apps, social media, and location-tracking technology to obtain data pertinent to wellness and disease diagnosis, prevention, and management) makes it theoretically possible to monitor and intervene whenever and wherever acute and chronic medical conditions occur. With 81% of North American adults owning a smartphone, this frontier could be reached in the foreseeable future in the United States and is particularly relevant to the management of chronic diseases. More than 40% of U.S. adults have two or more chronic conditions and chronic conditions now account for 71% of all U.S. health care spending, so the promise of mobile health is especially attractive. Mobile health is at the swirling confluence of remote sensing, consumer-facing personal technologies, and artificial intelligence. Data from smartphone applications and an ever-growing range of wearable and environmental sensors can be processed with the use of machine learning and other AI techniques to support medical decision making. This author review the current state of sensing, digital biomarkers, and digital therapeutics (the use of online technologies in the treatment of behavioral and medical conditions); discuss the challenges of integrating mobile health into clinical care; and describe regulatory, business, and ethical issues confronting mobile health.