个人可穿戴数据在长 COVID 和个性化患者护理中的实用性。

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2024-11-18 DOI:10.1038/s41746-024-01341-z

Elizabeth J. Enichen, Kimia Heydari, Serena Wang, Grace C. Nickel, Joseph C. Kvedar

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引用次数: 0

摘要

Radin 等人最近对长期 COVID 患者进行的研究表明，个人可穿戴设备数据可以提供对复杂病情的重要见解。这篇社论认为，通过个人可穿戴设备获得的研究见解支持将个人可穿戴设备融入医疗保健。将可穿戴设备数据应用于临床所面临的挑战包括：人工智能数据分类、数据共享、设备互操作性、FDA 监督以及扩大保险范围，这些都是应对这些挑战的第一步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The utility of personal wearable data in long COVID and personalized patient care

Radin et al.’s recent study on patients with long COVID demonstrates that personal wearable data can provide critical insight into complex conditions. This editorial argues that research insights gained through personal wearables support the integration of personal wearables into healthcare. Challenges in incorporating wearable data in the clinic point towards AI data sorting, data sharing, device interoperability, FDA oversight, and expanded insurance coverage as first steps towards addressing these challenges.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.