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Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means to extract structured information from free-text records becomes an important research endeavor. In this paper, we propose and implement an information extraction system that extracts three types of information -numeric values, medical terms and categorical value -from semi-structured patient records. Three approaches are proposed to solve the problems posed by each of the three types of values,doi:10.1109/icde.2005.207 dblp:conf/icde/ZhouHCPB05 fatcat:4e4sprbwo5abtouswyglnfpaae