Emerging Technologies for Identifying Atrial Fibrillation.
Emerging Technologies for Identifying Atrial Fibrillation.
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DOI：
10.1161/circresaha.119.316342
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发表时间：
2020-06-19
影响因子：
20.1
通讯作者：
McManus DD
中科院分区：
文献类型：
--
作者：
Ding EY;Marcus GM;McManus DD
心房颤动（AF）是全球发病率和死亡率的主要原因，其中很大一部分是由于及时诊断和治疗方面的挑战。现有的和新兴的移动的技术已被用于在各种临床和社区环境中成功识别AF，虽然这些技术为AF检测和筛查带来了巨大的革命性希望，但几个主要障碍可能会阻碍其有效性。器械检测到的AF的临床意义尚不明确，将患者生成的数据整合到现有医疗保健系统和临床工作流程中的潜在挑战，潜在假阳性造成的伤害，以及确定基于人群的筛查工作的适当范围，都是需要进一步调查的潜在问题。对于医疗保健提供者、研究人员、资助机构、保险公司和工程师等利益相关者来说，积极合作以实现移动的技术的巨大潜力，以改善人群水平的AF识别和管理至关重要。
Atrial fibrillation (AF) is a major cause of morbidity and mortality globally, and much of this is driven by challenges in its timely diagnosis and treatment. Existing and emerging mobile technologies have been used to successfully identify AF in a variety of clinical and community settings, and while these technologies offer great promise for revolutionizing AF detection and screening, several major barriers may impede their effectiveness. The unclear clinical significance of device-detected AF, potential challenges in integrating patient-generated data into existing healthcare systems and clinical workflows, harm resulting from potential false positives, and identifying the appropriate scope of population-based screening efforts are all potential concerns that warrant further investigation. It is crucial for stakeholders such as healthcare providers, researchers, funding agencies, insurers, and engineers to actively work together in fulfilling the tremendous potential of mobile technologies to improve AF identification and management on a population level.