Enichen Elizabeth J, Heydari Kimia, Wang Serena, Nickel Grace C, Kvedar Joseph C
Harvard Medical School, Boston, MA, USA.
NPJ Digit Med. 2024 Nov 18;7(1):326. doi: 10.1038/s41746-024-01341-z.
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.
拉丹等人最近对长期新冠患者的研究表明，个人可穿戴设备数据能够为复杂病情提供关键见解。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其整合到医疗保健中。在临床中纳入可穿戴设备数据的挑战指向人工智能数据分类、数据共享、设备互操作性、美国食品药品监督管理局的监管以及扩大保险覆盖范围，这些是应对这些挑战的首要步骤。
