{"title":"English output of the physical examination in an automated medical record","authors":"S. Jordan, Cathy J. Kreikebaum, Arthur Kretchmar","doi":"10.1145/800181.810275","DOIUrl":null,"url":null,"abstract":"As part of the long-term project to create a medical information system for the University of Tennessee Memorial Research Center and Hospital, a computerized patient record is being developed. The physical examination portion of the medical record has been automated with software written in the MUMPS programming language. The present package allows a physician at a computer terminal to input (in a questionnaire format) physical examination findings which are then encoded into highly compressed alphanumeric strings and recorded unambiguously in a tree-structured data base. This paper describes the generation of conveniently readable output from the structures which resulted from the questionnaire. The English phrase output, rich with modifiers and multiple-level descriptors, is clear, concise and convenient to use.","PeriodicalId":447373,"journal":{"name":"ACM '75","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '75","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800181.810275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As part of the long-term project to create a medical information system for the University of Tennessee Memorial Research Center and Hospital, a computerized patient record is being developed. The physical examination portion of the medical record has been automated with software written in the MUMPS programming language. The present package allows a physician at a computer terminal to input (in a questionnaire format) physical examination findings which are then encoded into highly compressed alphanumeric strings and recorded unambiguously in a tree-structured data base. This paper describes the generation of conveniently readable output from the structures which resulted from the questionnaire. The English phrase output, rich with modifiers and multiple-level descriptors, is clear, concise and convenient to use.