Brinkley J F, Rosse C
Department of Biological Structure, University of Washington, Seattle, USA.
Proc AMIA Symp. 1998:892-6.
User feedback from the Digital Anatomist Web-based anatomy atlases, together with over 20 years of anatomy teaching experience, were used to formulate the requirements and system design for a next-generation anatomy information system. The main characteristic of this system over current image-based approaches is that it is knowledge-based. A foundational model of anatomy is accessed by an intelligent agent that uses its knowledge about the available anatomy resources and the user types to generate customized interfaces. Current usage statistics suggest that even partial implementation of this design will be of great practical value for both clinical and educational needs.
来自数字解剖学家基于网络的解剖图谱的用户反馈,以及超过20年的解剖学教学经验,被用于制定下一代解剖学信息系统的要求和系统设计。该系统相对于当前基于图像的方法的主要特点是它基于知识。一个解剖学基础模型由一个智能代理访问,该智能代理利用其关于可用解剖学资源和用户类型的知识来生成定制界面。当前的使用统计数据表明,即使是该设计的部分实施对于临床和教育需求也将具有很大的实用价值。