Morioka Craig A, El-Saden Suzie, Duckwiler Gary, Zou Qinghua, Ying Rene, Bui Alex, Johnson David, Kangarloo Hooshang
University of California, Los Angeles, USA.
AMIA Annu Symp Proc. 2003;2003:475-9.
Reviewing brain tumor patients' complete medical record is a daunting task for any clinician. In current practice, the radiologist examines the most recent documents and then dictates an assessment of the patient's condition based on a review of the most current imaging study and compared with the most recent previous image study. Occasionally, the radiologist searches other clinical documents when more precise detail is needed. The purpose of this research is to develop effective methods to review all of the pertinent information in a patient medical record incorporating HIS (Hospital Information Systems), RIS (Radiology Information Systems) and PACS (Picture Archiving and Communications Systems) information in three distinct ways: filtering the document worklist for pertinent clinical data, identification of key clusters of clinical information, and an automatic hanging protocol that displays the MR images for optimal image comparison.
对任何临床医生来说,查阅脑肿瘤患者的完整病历都是一项艰巨的任务。在当前的实践中,放射科医生会检查最新的文档,然后根据对最新影像学研究的审查并与之前最近的影像研究进行比较,口述对患者病情的评估。偶尔,当需要更精确的细节时,放射科医生会搜索其他临床文档。本研究的目的是开发有效的方法,以三种不同方式审查患者病历中包含医院信息系统(HIS)、放射学信息系统(RIS)和图像存档与通信系统(PACS)信息的所有相关信息:为相关临床数据筛选文档工作列表、识别临床信息的关键集群,以及一种自动挂片协议,该协议可显示磁共振图像以进行最佳图像比较。