IEEE J Biomed Health Inform. 2018 Nov;22(6):1807-1813. doi: 10.1109/JBHI.2018.2864686. Epub 2018 Aug 9.
New technologies, such as serious games and ambient activities, are being developed to address problems of under-stimulation, anxiety, and agitation in millions of people living with dementia in long term care homes. Frequent interactions with instrumented versions of these technologies may not only be beneficial for long term care residents, but may also provide a valuable new set of multifaceted data related to the health status of residents over time. In this paper, we develop a model for health monitoring in healthcare environments and we report on two studies that show how medically relevant data can be collected from elderly residents and emergency department patients in an unobtrusive way. The first study shows how data related to cognitive abilities can be collected from elderly emergency department patients and the second study shows how detailed data on a range of factors can be collected from ambient activity units designed to provide engaging interactions for long term care residents. In summary, this paper proposes the use of new technologies to transform long term care from a data poor to a data rich environment, where the health status of long term care residents and elderly patients is more closely monitored.
新技术，如严肃游戏和环境活动，正在被开发出来，以解决数以百万计的长期护理机构中患有痴呆症的人的刺激不足、焦虑和烦躁问题。频繁地与这些技术的仪器化版本互动，不仅对长期护理居民有益，而且还可以提供一套有价值的、新的多方面的与居民健康状况随时间变化相关的数据。在本文中，我们开发了一个医疗保健环境中的健康监测模型，并报告了两项研究，展示了如何以不引人注目的方式从老年居民和急诊部患者那里收集与医疗相关的数据。第一项研究表明如何从老年急诊部患者那里收集与认知能力相关的数据，第二项研究表明如何从设计用于为长期护理居民提供互动的环境活动单元中收集关于一系列因素的详细数据。总之，本文提出使用新技术将长期护理从一个数据匮乏的环境转变为一个数据丰富的环境，在这个环境中，长期护理居民和老年患者的健康状况将得到更密切的监测。
