Klimczak J C, Hahn A W, Hausam R R, Sievert M E, Mitchell J A
Medical Informatics Group, School of Medicine, University of Missouri, Columbia 65211.
Biomed Sci Instrum. 1994;30:127-32.
We have developed a means for "browsing" an extremely large vocabulary of over 130,000 medical terms (SNOMED International, 3rd ed.). This vocabulary someday hopes to become a standard vocabulary and coding scheme for patient medical records. After obtaining the vocabulary in machine readable form (ASCII in standard data format--SDF) we wrote a meta program in Turbo Pascal which parsed and embedded control codes into an input file for importing the data into an "infobase" known as FolioVIEWS. Using this infobase, it became possible to rapidly and reliably navigate around the SNOMED vocabulary in a manner impossible with printed material. The FolioVIEWS search engine is robust and rapid and allows for easy access to the terms. The utility of the infobase in evaluating the SNOMED vocabulary has been quite good. The actual utility of SNOMED as a standard vocabulary remains to be evaluated.
我们已经开发出一种方法，用于“浏览”一个包含超过13万个医学术语的超大词汇表（国际医学术语系统命名法，第3版）。该词汇表有望在未来成为患者病历的标准词汇表和编码方案。在以机器可读形式（标准数据格式的ASCII码——SDF）获取该词汇表后，我们用Turbo Pascal编写了一个元程序，该程序将解析后的控制代码嵌入到一个输入文件中，以便将数据导入一个名为FolioVIEWS的“信息库”。利用这个信息库，就能够以一种印刷材料无法实现的方式，快速且可靠地浏览国际医学术语系统命名法的词汇。FolioVIEWS搜索引擎功能强大且速度快，能够轻松访问这些术语。该信息库在评估国际医学术语系统命名法词汇方面的实用性相当不错。国际医学术语系统命名法作为标准词汇表的实际效用仍有待评估。
