The rapid dissemination and adoption of smart speakers has enabled substantial opportunities to improve human health. Just as the introduction of the mobile phone led to considerable health innovation, smart speaker computing systems carry several unique advantages that have the potential to catalyze new fields of health research, particularly in out-of-hospital environments. The recent rise and ubiquity of these smart computing systems hold significant potential for enhancing chronic disease management, enabling passive identification of unwitnessed medical emergencies, detecting subtle changes in human behavior and cognition, limiting isolation, and potentially allowing widespread, passive, remote monitoring of respiratory diseases that impact the public health. There are 3 broad mechanisms for how a smart speaker can interact with a person to improve health. These include (i) as an intelligent conversational agent, (ii) a passive identifier of medically relevant diagnostic sounds and (iii) active sensing using the device's internal hardware to measure physiologic parameters, such as with active sonar, radar or computer vision. Each of these different modalities have specific clinical use cases, all of which need to be balanced against potential privacy concerns, equity related to system access and regulatory frameworks which have not yet been developed for this unique type of passive data collection.
翻译:智能用户的迅速传播和采用,为改善人类健康提供了大量的机会,正如移动电话的引进导致大量健康创新,智能用户计算系统具有若干独特的优势,有可能催化新的卫生研究领域,特别是在医院外环境,这些智能计算机系统最近兴起和普遍存在,具有加强慢性疾病管理的巨大潜力,能够被动地识别无目医疗紧急情况,发现人类行为和认知的微妙变化,限制隔离,并可能允许广泛、被动和远程监测影响公共健康的呼吸道疾病。智能用户与一个人如何互动以改善健康有三种广泛的机制,其中包括(一) 作为智能交流剂,(二) 与医学有关的诊断声音的被动识别器,(三) 利用该设备的内部硬件进行积极检测,以测量物理参数,如主动声纳、雷达或计算机视觉。这些不同模式都有具体的临床使用案例,所有这些案例都需要与潜在的隐私关切、与系统接入相关的公平性和监管框架相平衡,尚未为这种独特的数据收集而开发的被动类型。