The Future of Telemedicine in the Management of Heart Failure Patients

Author:

Silva-Cardoso José1ORCID,González Juanatey José Ramón2ORCID,Comin-Colet Josep3ORCID,Sousa José Maria4ORCID,Cavalheiro Ana5ORCID,Moreira Emília6ORCID

Affiliation:

1. Faculty of Medicine, University of Porto, Porto, Portugal; São João University Hospital Centre, Porto, Portugal; CINTESIS, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal

2. Santiago de Compostela University Hospital, Santiago de Compostela, Spain

3. Bio-Heart Cardiovascular Diseases Research Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain; Community Heart Failure Program, Cardiology Department, Bellvitge University Hospital, L’Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain

4. São João University Hospital Centre, Porto, Portugal; CINTESIS, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal

5. CINTESIS, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal; Department of Physical Rehabilitation, Centro Hospitalar do Porto, Porto, Portugal

6. Faculty of Medicine, University of Porto, Porto, Portugal; CINTESIS, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal

Abstract

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.

Funder

Fundação para a Ciência e a Tecnologia

European Regional Development Fund

Publisher

Radcliffe Group Ltd

Subject

General Medicine

Reference55 articles.

1. Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2016;37:2129–200. https://doi.org/10.1093/eurheartj/ehw128; PMID: 27206819.

2. Di Lenarda A, Casolo G, Gulizia MM, et al. The future of telemedicine for the management of heart failure patients: a consensus document of the Italian Association of Hospital Cardiologists (A.N.M.C.O), the Italian Society of Cardiology (S.I.C.) and the Italian Society for Telemedicine and eHealth (Digital S.I.T.). Eur Heart J Suppl 2017;19(Suppl D):D113–29. https://doi.org/10.1093/eurheartj/sux024; PMID: 28751839.

3. Cowie MR. Building the new digital world: launch of the European Heart Journal – Digital Health. Eur Heart J Digital Health 2020;1:3. https://doi.org/10.1093/ehjdh/ztaa002.

4. Jaarsma T, Hill L, Bayes-Genis A, et al. Self-care of heart failure patients: practical management recommendations from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2021;23:157–74. https://doi.org/10.1002/ejhf.2008; PMID: 32945600.

5. Neubeck L, Hansen T, Jaarsma T, et al. Delivering healthcare remotely to cardiovascular patients during COVID-19: a rapid review of the evidence. Eur J Cardiovasc Nurs 2020;19:486–94. https://doi.org/10.1177/1474515120924530; PMID: 32380858.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3