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.

中文翻译：

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个人可穿戴数据在长期 COVID 和个性化患者护理中的效用


Radin 等人最近对长期 COVID 患者的研究表明，个人可穿戴数据可以提供对复杂情况的关键见解。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整合到医疗保健中。将可穿戴数据整合到临床中面临的挑战表明，AI 数据排序、数据共享、设备互操作性、FDA 监督和扩大保险覆盖范围是应对这些挑战的第一步。