{"title":"协调多个正在进行的临床试验和注册的数据管理。","authors":"M A Carr","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The Epidemiology Data Center at the University of Pittsburgh has developed a standard set of data management procedures, reports, and computing configurations for use on multicenter research projects. Based on budget restrictions and study design considerations, a project-specific data management system can be quickly constructed by utilizing appropriate components from the EDC tool kit: the PoP software system for the computerization of the database from paper forms to data entry screens; program shells for telecommunication and backup procedures; and procedural documents for providing the necessary training materials for centralized or decentralized processing environments. The EDC data flow specification provides quality control assurances from entry through statistical analysis.</p>","PeriodicalId":79757,"journal":{"name":"Topics in health record management","volume":"11 2","pages":"13-9"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coordinating data management for multiple ongoing clinical trials and registries.\",\"authors\":\"M A Carr\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Epidemiology Data Center at the University of Pittsburgh has developed a standard set of data management procedures, reports, and computing configurations for use on multicenter research projects. Based on budget restrictions and study design considerations, a project-specific data management system can be quickly constructed by utilizing appropriate components from the EDC tool kit: the PoP software system for the computerization of the database from paper forms to data entry screens; program shells for telecommunication and backup procedures; and procedural documents for providing the necessary training materials for centralized or decentralized processing environments. The EDC data flow specification provides quality control assurances from entry through statistical analysis.</p>\",\"PeriodicalId\":79757,\"journal\":{\"name\":\"Topics in health record management\",\"volume\":\"11 2\",\"pages\":\"13-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topics in health record management\",\"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":"Topics in health record management","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coordinating data management for multiple ongoing clinical trials and registries.
The Epidemiology Data Center at the University of Pittsburgh has developed a standard set of data management procedures, reports, and computing configurations for use on multicenter research projects. Based on budget restrictions and study design considerations, a project-specific data management system can be quickly constructed by utilizing appropriate components from the EDC tool kit: the PoP software system for the computerization of the database from paper forms to data entry screens; program shells for telecommunication and backup procedures; and procedural documents for providing the necessary training materials for centralized or decentralized processing environments. The EDC data flow specification provides quality control assurances from entry through statistical analysis.