远程医疗在心力衰竭患者管理中的未来。

IF 4.2 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Cardiac Failure Review Pub Date : 2021-05-28 eCollection Date: 2021-03-01 DOI:10.15420/cfr.2020.32
José Silva-Cardoso, José Ramón González Juanatey, Josep Comin-Colet, José Maria Sousa, Ana Cavalheiro, Emília Moreira
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引用次数: 0

摘要

远程医疗(TM)是提升心力衰竭(HF)多学科综合护理的一种潜在方式。尽管在心力衰竭(HF)管理中实施远程医疗已初见成效,但我们仍处于其实施的早期阶段。2019 年冠状病毒疾病的大流行导致了对 TM 的利用率上升。在这一威胁消除后,这一趋势可能会继续存在。通过使用 TM,面对面的医疗干预正逐渐过渡到虚拟环境。TM 可以改善医疗保健的可及性,克服地理上的不平等。它能提高医疗系统的效率,改善患者的自我管理和赋权。在人工干预的配合下,人工智能可通过帮助处理复杂的高血压多发病管理问题来加强 TM,并将在实现个性化高血压患者治疗方法方面发挥重要作用。人工智能驱动的/远程医疗/心脏团队/多学科综合护理可能是下一步高频管理的方向。在这篇综述中,作者分析了高频患者管理中的 TM 趋势,并预测了高频多学科综合护理范围内的未来挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Future of Telemedicine in the Management of Heart Failure Patients.

The Future of Telemedicine in the Management of Heart Failure Patients.

Telemedicine (TM) is potentially a way of escalating heart failure (HF) multidisciplinary integrated care. Despite the initial efforts to implement TM in HF management, we are still at an early stage of its implementation. The coronavirus disease 2019 pandemic led to an increased utilisation of TM. This tendency will probably remain after the resolution of this threat. Face-to-face medical interventions are gradually transitioning to the virtual setting by using TM. TM can improve healthcare accessibility and overcome geographic inequalities. It promotes healthcare system efficiency gains, and improves patient self-management and empowerment. In cooperation with human intervention, artificial intelligence can enhance TM by helping to deal with the complexities of multicomorbidity management in HF, and will play a relevant role towards a personalised HF patient approach. Artificial intelligence-powered/telemedical/heart team/multidisciplinary integrated care may be the next step of HF management. In this review, the authors analyse TM trends in the management of HF patients and foresee its future challenges within the scope of HF multidisciplinary integrated care.

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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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