Maeder Anthony J, Williams Patricia A H
School of Health Sciences, Flinders University, Adelaide, South Australia, Australia.
School of Computer Science, Engineering & Mathematics, Flinders University, Adelaide, South Australia, Australia.
Stud Health Technol Inform. 2017;245:166-169.
Health Smart Homes provide various forms of assisted living support, by monitoring the activities and health status of their occupants to generate flows of information and sometimes interventions involving the occupants and their careers. Technologies of varying complexity must be combined to produce the underlying Health Smart Home system, and processing of the resulting data may require methods of varying sophistication. These aspects have been well studied, but no widely-adopted approaches for practical implementation of systems or systematic processing of data have been developed. Also, the integration of Health Smart Home services with the overall health care system has not been regularized. This paper identifies and categorizes the emerging high-level challenges beyond those in the basic technical and algorithmic spaces. These challenges will influence future directions for Health Smart Homes and their wider adoption and integration with health systems.
健康智能家居通过监测居住者的活动和健康状况来提供各种形式的辅助生活支持，以生成信息流，有时还会涉及居住者及其护理人员的干预措施。必须将各种复杂程度不同的技术结合起来，以构建基础的健康智能家居系统，而对所得数据的处理可能需要不同复杂程度的方法。这些方面已经得到了充分研究，但尚未开发出广泛采用的系统实际实施方法或数据系统处理方法。此外，健康智能家居服务与整体医疗保健系统的整合也尚未规范化。本文识别并分类了超出基本技术和算法领域的新出现的高层次挑战。这些挑战将影响健康智能家居的未来发展方向及其更广泛的应用以及与医疗系统的整合。
