Sakuma S, Ishigaki T, Ikeda M
Department of Radiology, Nagoya University School of Medicine, Japan.
Comput Methods Programs Biomed. 1991 Oct-Nov;36(2-3):143-6. doi: 10.1016/0169-2607(91)90063-y.
In Nagoya University Hospital, a Radiology Intelligent Information System (RIIS) is under construction which will be linked with the Hospital Intelligent Information System (HIIS). RIIS is composed of the radiation oncology information system and the diagnostic radiology information system which is named Imaging Diagnosis Intelligent Information System (IDIIS). IDIIS consists of three parts: (a) the Imaging Diagnosis Management System (IDMS); (b) the Picture Archiving and Communication System (PACS); (c) the Report Generation Support System for Imaging Diagnosis (RGSS-ID). Artificial intelligence methodology is applied to RGSS-ID and IDMS which includes the ordering and scheduling system of diagnostic imaging. IDIIS has an important role to improve the quality of patient care and medical education as well as image management and is an essential component for the implementation of HIIS.
在名古屋大学医院，一个放射学智能信息系统（RIIS）正在建设中，它将与医院智能信息系统（HIIS）相连接。RIIS由放射肿瘤学信息系统和诊断放射学信息系统组成，后者被称为影像诊断智能信息系统（IDIIS）。IDIIS由三个部分组成：（a）影像诊断管理系统（IDMS）；（b）图像存档与通信系统（PACS）；（c）影像诊断报告生成支持系统（RGSS-ID）。人工智能方法应用于RGSS-ID和IDMS，其中IDMS包括诊断成像的预约和调度系统。IDIIS在提高患者护理质量、医学教育以及图像管理方面具有重要作用，并且是实施HIIS的重要组成部分。
