移动医疗技术在临床心律失常护理中的应用现状。

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Arun R. Sridhar, Jim W. Cheung, Rachel Lampert, Jennifer N. A. Silva, Rakesh Gopinathannair, Juan C. Sotomonte, Khaldoun Tarakji, Mark Fellman, Jonathan Chrispin, Niraj Varma, Rajesh Kabra, Nishaki Mehta, Sana M Al-Khatib, Jacob J. Mayfield, Rachita Navara, Bharath Rajagopalan, Rod Passman, Yann Fleureau, Maully J Shah, Mintu Turakhia, Dhanunjaya Lakkireddy
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引用次数: 0

摘要

面向消费者的移动和传感器技术的快速发展为患者驱动的个性化健康管理创造了巨大的机遇。心律失常的诊断和管理尤其适合从这些易于获取的消费者健康技术中获益。特别是,基于智能手机和腕戴式可穿戴心电图(ECG)和光电血压计(PPG)技术可以促进相对廉价的长期心律监测。在此,我们回顾了与心律失常护理相关的现有和新兴移动医疗技术的实用性。我们讨论了这些工具的应用,它们在诊断性能、目标人群和适应症方面各不相同。我们还强调,要成功地将这些技术整合到临床实践中,需要对监管审批、数据管理、电子病历整合、质量监督等方面进行调整,并努力将医护人员的额外负担降到最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

State of the art of mobile health technologies use in clinical arrhythmia care

State of the art of mobile health technologies use in clinical arrhythmia care
The rapid growth in consumer-facing mobile and sensor technologies has created tremendous opportunities for patient-driven personalized health management. The diagnosis and management of cardiac arrhythmias are particularly well suited to benefit from these easily accessible consumer health technologies. In particular, smartphone-based and wrist-worn wearable electrocardiogram (ECG) and photoplethysmography (PPG) technology can facilitate relatively inexpensive, long-term rhythm monitoring. Here we review the practical utility of the currently available and emerging mobile health technologies relevant to cardiac arrhythmia care. We discuss the applications of these tools, which vary with respect to diagnostic performance, target populations, and indications. We also highlight that requirements for successful integration into clinical practice require adaptations to regulatory approval, data management, electronic medical record integration, quality oversight, and efforts to minimize the additional burden to health care professionals. Sridhar et al. review the opportunities that mobile health technologies offer to improve the care of patients with cardiac arrhythmias. The current status, challenges, and future opportunities to use these technologies to predict, screen, diagnose, and manage of cardiac arrhythmias are highlighted.
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