Royal Brompton Hospital (Guy's & St Thomas' NHS Foundation Trust), Sydney Street, London, SW3 6NP, UK.
Comprehensive Heart Failure Centre, University and University Hospital Würzburg, Würzburg, Germany.
Curr Heart Fail Rep. 2022 Jun;19(3):75-108. doi: 10.1007/s11897-022-00548-z. Epub 2022 Apr 29.
In this article, we review a range of digital technologies for possible application in heart failure patients, with a focus on lessons learned. We also discuss a future model of heart failure management, as digital technologies continue to become part of standard care.
Digital technologies are increasingly used by healthcare professionals and those living with heart failure to support more personalised and timely shared decision-making, earlier identification of problems, and an improved experience of care. The COVID-19 pandemic has accelerated the acceptability and implementation of a range of digital technologies, including remote monitoring and health tracking, mobile health (wearable technology and smartphone-based applications), and the use of machine learning to augment data interpretation and decision-making. Much has been learned over recent decades on the challenges and opportunities of technology development, including how best to evaluate the impact of digital health interventions on health and healthcare, the human factors involved in implementation and how best to integrate dataflows into the clinical pathway. Supporting patients with heart failure as well as healthcare professionals (both with a broad range of health and digital literacy skills) is crucial to success. Access to digital technologies and the internet remains a challenge for some patients. The aim should be to identify the right technology for the right patient at the right time, in a process of co-design and co-implementation with patients.
本文综述了一系列可能应用于心力衰竭患者的数字技术,重点介绍了经验教训。我们还讨论了心力衰竭管理的未来模式,因为数字技术将继续成为标准护理的一部分。
数字技术越来越多地被医疗保健专业人员和心力衰竭患者使用,以支持更个性化和及时的共同决策、更早地发现问题,并改善护理体验。COVID-19 大流行加速了一系列数字技术的可接受性和实施,包括远程监测和健康跟踪、移动健康(可穿戴技术和基于智能手机的应用程序)以及使用机器学习来增强数据解释和决策。在过去几十年中,我们已经了解到很多关于技术开发的挑战和机遇,包括如何最好地评估数字健康干预措施对健康和医疗保健的影响、实施过程中的人为因素以及如何将数据流最好地整合到临床路径中。支持心力衰竭患者以及医疗保健专业人员(包括广泛的健康和数字素养技能)对于成功至关重要。一些患者仍然面临获取数字技术和互联网的挑战。目标应该是在与患者共同设计和共同实施的过程中,为合适的患者在合适的时间确定合适的技术。