Digital tools in heart failure: addressing unmet needs

被引:3
|
作者
Myhre, Peder L. [1 ,2 ]
Tromp, Jasper [3 ,4 ,5 ]
Ouwerkerk, Wouter [3 ]
Ting, Daniel S. W. [4 ]
Docherty, Kieran F. [6 ]
Gibson, C. Michael [7 ,8 ]
Lam, Carolyn S. P. [3 ,4 ,8 ]
机构
[1] Akershus Univ Hosp, Dept Cardiol, Lorenskog, Norway
[2] Univ Oslo, KG Jebsen Ctr Cardiac Biomarkers, Oslo, Norway
[3] Natl Heart Ctr Singapore, Singapore, Singapore
[4] Duke Natl Univ Singapore, Singapore, Singapore
[5] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore, Singapore
[6] Univ Glasgow, Sch Cardiovasc & Metab Hlth, Glasgow, Scotland
[7] Harvard Med Sch, Boston, MA USA
[8] Baim Inst Clin Res, Boston, MA USA
来源
LANCET DIGITAL HEALTH | 2024年 / 6卷 / 10期
关键词
ARTIFICIAL-INTELLIGENCE; EJECTION FRACTION; RANDOMIZED-TRIAL; IDENTIFICATION; RECOGNITION; MANAGEMENT; ALGORITHM; RISK;
D O I
10.1016/S2589-7500(24)00158-4
中图分类号
R-058 [];
学科分类号
摘要
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.
引用
收藏
页码:e755 / e766
页数:12
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