Sundvall Erik, Nyström Mikael, Forss Mattias, Chen Rong, Petersson Håkan, Ahlfeldt Hans
Department of Biomedical Engineering, Linköpings universitet, Sweden.
Stud Health Technol Inform. 2007;129(Pt 2):1043-7.
This paper describes selected earlier approaches to graphically relating events to each other and to time; some new combinations are also suggested. These are then combined into a unified prototyping environment for visualization and navigation of electronic health records. Google Earth (GE) is used for handling display and interaction of clinical information stored using openEHR data structures and 'archetypes'. The strength of the approach comes from GE's sophisticated handling of detail levels, from coarse overviews to fine-grained details that has been combined with linear, polar and region-based views of clinical events related to time. The system should be easy to learn since all the visualization styles can use the same navigation. The structured and multifaceted approach to handling time that is possible with archetyped openEHR data lends itself well to visualizing and integration with openEHR components is provided in the environment.
本文描述了一些早期将事件相互关联以及与时间关联的图形化方法;还提出了一些新的组合方式。然后将这些组合成一个统一的原型环境,用于电子健康记录的可视化和导航。谷歌地球(GE)用于处理使用openEHR数据结构和“原型”存储的临床信息的显示和交互。该方法的优势在于GE对细节层次的复杂处理,从粗略概览到细粒度细节,并与与时间相关的临床事件的线性、极坐标和基于区域的视图相结合。该系统应该易于学习,因为所有可视化样式都可以使用相同的导航方式。环境中提供了通过原型化的openEHR数据处理时间的结构化和多方面方法,这非常适合与openEHR组件进行可视化和集成。