{"title":"调整商业上可用的软件程序以改进ADR报告。","authors":"A J Ries, M A Kraynak","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>To facilitate the long-term storage, retrieval, and analysis of adverse drug reaction (ADR) data, the drug information service at the University of Texas Health Science Center at San Antonio selected a computer software program with the capability to compile sets of relational databases. Five subsets were created to form the ADR database--patient demographics, medications, American Hospital Formulary Service classifications, adverse reactions, and case reports. This computerized system allows for quick information retrieval as well as the generation of monthly ADR reports. With such information, trends in ADRs can be identified and targeted for intervention programs to improve patient care and to comply with JCAHO requirements.</p>","PeriodicalId":12354,"journal":{"name":"Formulary","volume":"30 11","pages":"697-8, 703-4"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adapting a commercially available software program to improve ADR reporting.\",\"authors\":\"A J Ries, M A Kraynak\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To facilitate the long-term storage, retrieval, and analysis of adverse drug reaction (ADR) data, the drug information service at the University of Texas Health Science Center at San Antonio selected a computer software program with the capability to compile sets of relational databases. Five subsets were created to form the ADR database--patient demographics, medications, American Hospital Formulary Service classifications, adverse reactions, and case reports. This computerized system allows for quick information retrieval as well as the generation of monthly ADR reports. With such information, trends in ADRs can be identified and targeted for intervention programs to improve patient care and to comply with JCAHO requirements.</p>\",\"PeriodicalId\":12354,\"journal\":{\"name\":\"Formulary\",\"volume\":\"30 11\",\"pages\":\"697-8, 703-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Formulary\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Formulary","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adapting a commercially available software program to improve ADR reporting.
To facilitate the long-term storage, retrieval, and analysis of adverse drug reaction (ADR) data, the drug information service at the University of Texas Health Science Center at San Antonio selected a computer software program with the capability to compile sets of relational databases. Five subsets were created to form the ADR database--patient demographics, medications, American Hospital Formulary Service classifications, adverse reactions, and case reports. This computerized system allows for quick information retrieval as well as the generation of monthly ADR reports. With such information, trends in ADRs can be identified and targeted for intervention programs to improve patient care and to comply with JCAHO requirements.