Digital tools in heart failure: addressing unmet needs.

IF 23.8 1区 医学 Q1 MEDICAL INFORMATICS Lancet Digital Health Pub Date : 2024-08-29 DOI:10.1016/S2589-7500(24)00158-4
Peder L Myhre, Jasper Tromp, Wouter Ouwerkerk, Daniel T S Wei, Kieran F Docherty, C Michael Gibson, Carolyn S P Lam
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Abstract

This Series paper provides an overview of digital tools in heart failure care, encompassing screening, early diagnosis, treatment initiation and optimisation, and monitoring, and the implications these tools could have for research. The current medical environment favours the implementation of digital tools in heart failure due to rapid advancements in technology and computing power, unprecedented global connectivity, and the paradigm shift towards digitisation. Despite available effective therapies for heart failure, substantial inadequacies in managing the condition have hindered improvements in patient outcomes, particularly in low-income and middle-income countries. As digital health tools continue to evolve and exert a growing influence on both clinical care and research, establishing clinical frameworks and supportive ecosystems that enable their effective use on a global scale is crucial.

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心力衰竭的数字化工具:满足尚未满足的需求。
本系列论文概述了心力衰竭治疗中的数字化工具,包括筛查、早期诊断、开始和优化治疗以及监测,以及这些工具可能对研究产生的影响。由于技术和计算能力的飞速发展、前所未有的全球连通性以及向数字化模式的转变,当前的医疗环境有利于在心力衰竭领域应用数字化工具。尽管心力衰竭有有效的治疗方法,但在管理心力衰竭方面存在的巨大不足阻碍了患者预后的改善,尤其是在低收入和中等收入国家。随着数字医疗工具的不断发展并对临床治疗和研究产生越来越大的影响,建立临床框架和支持性生态系统使其在全球范围内得到有效使用至关重要。
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来源期刊
CiteScore
41.20
自引率
1.60%
发文量
232
审稿时长
13 weeks
期刊介绍: The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers.By bringing together the most important advances in this multidisciplinary field,The Lancet Digital Health is the most prominent publishing venue in digital health. We publish a range of content types including Articles,Review, Comment, and Correspondence, contributing to promoting digital technologies in health practice worldwide.
期刊最新文献
Correction to Lancet Digit Health 2024; 6: e281-90. Challenges for augmenting intelligence in cardiac imaging. Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study. Digital technology and new care pathways will redefine the cardiovascular workforce. Digital tools in heart failure: addressing unmet needs.
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