Turakhia Mintu P, Kaiser Daniel W
Stanford University School of Medicine, Stanford, CA, USA.
Center for Digital Health and Division of Cardiology, Stanford University, Stanford, CA, USA.
J Interv Card Electrophysiol. 2016 Oct;47(1):45-50. doi: 10.1007/s10840-016-0136-3. Epub 2016 Jun 15.
Atrial fibrillation (AF) is a multifaceted and highly variable disease that is often difficult to manage within the traditional health-care model. The conventional model of regular or pre-scheduled appointments with physicians or allied health professionals is poorly suited to the unpredictable and often urgent clinical needs of patients with AF. Mobile health (mHealth) has the potential to dramatically transform the delivery and quality of AF care. In this brief review, we summarize the current limitations and evidence gaps in treating patients with AF. We then describe the current mHealth landscape, changes in telehealth coverage and reimbursement, and recent technological advances of smartphones, mobile applications, and connected wearable devices. We also describe important barriers and challenges, such as clinical management of large volumes of data, application of predictive analytics/machine learning, and the need for high-quality randomized clinical trials.
心房颤动（AF）是一种多方面且高度可变的疾病，在传统医疗模式下往往难以管理。与医生或专职医疗人员进行定期或预先安排的预约这种传统模式，不太适合心房颤动患者不可预测且通常紧急的临床需求。移动健康（mHealth）有潜力极大地改变心房颤动护理的提供方式和质量。在这篇简要综述中，我们总结了目前在治疗心房颤动患者方面的局限性和证据空白。然后我们描述了当前的移动健康状况、远程医疗覆盖范围和报销的变化，以及智能手机、移动应用程序和联网可穿戴设备的最新技术进展。我们还描述了重要的障碍和挑战，例如大量数据的临床管理、预测分析/机器学习的应用，以及高质量随机临床试验的必要性。
