Kunze C, Grossmann U, Stork W, Müller-Glaser K D
Institut für Technik der Informationsverarbeitung, Universität Karlsruhe, Deutschland.
Biomed Tech (Berl). 2002;47 Suppl 1 Pt 1:360-2. doi: 10.1515/bmte.2002.47.s1a.360.
A possibility to significantly reduce the costs of public health systems is to increasingly use information technology. The Laboratory for Information Processing Technology (ITIV) at the University of Karlsruhe is developing a personal health monitoring system, which should improve health care and at the same time reduce costs by combining micro-technological smart sensors with personalized, mobile computing systems. In this paper we present how ubiquitous computing theory can be applied in the health-care domain.
显著降低公共卫生系统成本的一种可能性是更多地使用信息技术。卡尔斯鲁厄大学的信息处理技术实验室(ITIV)正在开发一种个人健康监测系统,该系统应通过将微技术智能传感器与个性化移动计算系统相结合来改善医疗保健并同时降低成本。在本文中,我们展示了普适计算理论如何应用于医疗保健领域。