Sideli R V, Friedman C
Columbia-Presbyterian Medical Center, New York.
Proc Annu Symp Comput Appl Med Care. 1991:588-92.
Methods for validating patient names during the upload of clinical records are described. Exact string matching, Soundex method and a pattern matching algorithm (LCS method) are described and compared to a manual analysis of 10000 patient name pairs. In addition, the types of spelling and typographical errors that occur in patient names in the pathology database at CPMC are described. The data analysis shows that the LCS method performs better than the other techniques when compared to manual analysis.
描述了在临床记录上传期间验证患者姓名的方法。介绍了精确字符串匹配、Soundex方法和一种模式匹配算法(最长公共子序列方法),并将其与对10000对患者姓名的人工分析进行比较。此外,还描述了加州太平洋医疗中心病理数据库中患者姓名出现的拼写和排版错误类型。数据分析表明,与人工分析相比,最长公共子序列方法比其他技术表现更好。