Haug P J, Ranum D L, Frederick P R
Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.
Radiology. 1990 Feb;174(2):543-8. doi: 10.1148/radiology.174.2.2404321.
A computerized data acquisition tool, the special purpose radiology understanding system (SPRUS), has been implemented as a module in the Health Evaluation through Logical Processing Hospital Information System. This tool uses semantic information from a diagnostic expert system to parse free-text radiology reports and to extract and encode both the findings and the radiologists' interpretations. These coded findings and interpretations are then stored in a clinical data base. The system recognizes both radiologic findings and diagnostic interpretations. Initial tests showed a true-positive rate of 87% for radiographic findings and a bad data rate of 5%. Diagnostic interpretations are recognized at a rate of 95% with a bad data rate of 6%. Testing suggests that these rates can be improved through enhancements to the system's thesaurus and the computerized medical knowledge that drives it. This system holds promise as a tool to obtain coded radiologic data for research, medical audit, and patient care.
一种计算机化数据采集工具——专用放射学理解系统(SPRUS),已作为一个模块在通过逻辑处理进行健康评估的医院信息系统中实现。该工具利用来自诊断专家系统的语义信息来解析自由文本形式的放射学报告,并提取和编码检查结果以及放射科医生的诊断解释。然后,这些编码后的检查结果和诊断解释被存储在临床数据库中。该系统能够识别放射学检查结果和诊断解释。初步测试表明,对于放射学检查结果,真阳性率为87%,不良数据率为5%。诊断解释的识别率为95%,不良数据率为6%。测试表明,通过改进系统的同义词库以及驱动该系统的计算机化医学知识,这些比率可以得到提高。作为一种获取用于研究、医疗审计和患者护理的编码放射学数据的工具,该系统具有广阔前景。