Department for Data Science & Decision Support, European University Viadrina, Frankfurt (Oder), Germany.
Core Unit Digital Medicine & Interoperability, Berlin Institute of Health @ Charité, Charité - Universitätsmedizin Berlin, Berlin, Germany.
J Med Internet Res. 2024 Oct 25;26:e58936. doi: 10.2196/58936.
We propose a categorization of smartwatch use in the health care sector into 3 key functional domains: monitoring, nudging, and predicting. Monitoring involves using smartwatches within medical treatments to track health data, nudging pertains to individual use for health purposes outside a particular medical setting, and predicting involves using aggregated user data to train machine learning algorithms to predict health outcomes. Each domain offers unique contributions to health care, yet there is a lack of nuanced discussion in existing research. This paper not only provides an overview of recent technological advancements in consumer smartwatches but also explores the 3 domains in detail, culminating in a comprehensive summary that anticipates the future value and impact of smartwatches in health care. By dissecting the interconnected challenges and potentials, this paper aims to enhance the understanding and effective deployment of smartwatches in value-based health care.
我们提出将可穿戴设备在医疗保健领域的使用分为 3 个关键功能领域：监测、推动和预测。监测是指在医疗过程中使用可穿戴设备来跟踪健康数据，推动是指在特定医疗环境之外个人出于健康目的使用，预测是指使用聚合的用户数据来训练机器学习算法以预测健康结果。每个领域都为医疗保健提供独特的贡献，但现有研究缺乏细致的讨论。本文不仅概述了消费者智能手表的最新技术进展，还详细探讨了这 3 个领域，最终全面总结了智能手表在医疗保健中的未来价值和影响。通过剖析相互关联的挑战和潜力，本文旨在提高对基于价值的医疗保健中智能手表的理解和有效部署。
