Digital Health: Implications for Heart Failure Management.

IF 4.2 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Cardiac Failure Review Pub Date : 2021-05-11 eCollection Date: 2021-03-01 DOI:10.15420/cfr.2020.28
Arvind Singhal, Martin R Cowie
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引用次数: 0

Abstract

Digital health encompasses the use of information and communications technology and the use of advanced computing sciences in healthcare. This review covers the application of digital health in heart failure patients, focusing on teleconsultation, remote monitoring and apps and wearables, looking at how these technologies can be used to support care and improve outcomes. Interest in and use of these technologies, particularly teleconsultation, have been accelerated by the coronavirus disease 2019 pandemic. Remote monitoring of heart failure patients, to identify those patients at high risk of hospitalisation and to support clinical stability, has been studied with mixed results. Remote monitoring of pulmonary artery pressure has a consistent effect on reducing hospitalisation rates for patients with moderately severe symptoms and multiparameter monitoring shows promise for the future. Wearable devices and apps are increasingly used by patients for health and lifestyle support. Some wearable technologies have shown promise in AF detection, and others may be useful in supporting self-care and guiding prognosis, but more evidence is required to guide their optimal use. Support for patients and clinicians wishing to use these technologies is important, along with consideration of data validity and privacy and appropriate recording of decision-making.

Abstract Image

Abstract Image

数字健康:对心衰管理的影响。
数字医疗包括在医疗保健中使用信息和通信技术以及先进的计算科学。本综述涵盖了数字医疗在心力衰竭患者中的应用,重点关注远程会诊、远程监控、应用程序和可穿戴设备,探讨如何利用这些技术来支持护理和改善疗效。2019年冠状病毒疾病大流行加速了人们对这些技术,尤其是远程会诊的兴趣和使用。对心力衰竭患者进行远程监测,以识别住院风险高的患者并支持临床稳定性,但研究结果不一。远程监测肺动脉压对降低中度严重症状患者的住院率具有持续的效果,多参数监测显示了未来的前景。可穿戴设备和应用程序越来越多地被患者用于健康和生活方式支持。一些可穿戴技术已在房颤检测方面显示出前景,而其他技术则可能在支持自我保健和指导预后方面发挥作用,但还需要更多证据来指导其最佳使用。为希望使用这些技术的患者和临床医生提供支持非常重要,同时还要考虑到数据的有效性和隐私以及决策的适当记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
0.00%
发文量
31
审稿时长
9 weeks
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