{"title":"数据集设计技术:一个利用管理系统模型。","authors":"S R Fuller, S A O'Gara","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Designing a clinical information system offers a sense of accomplishment similar to that of a dramatic performance. The development of the data dictionary and proposed system description requires the same attention to detail as stage directions in a script. The people involved in daily system operation are of key importance in developing a clear understanding of how things actually happen in the information flow and decision process. Once the business rules are defined and edits and conditions are developed to ensure data integrity, it is time to step back and let the performance begin. The real power of the user-designed system, like that of a performance before a live audience, comes with the ability to query the data for answers to issues and problems decision makers did not face at the time of the initial system design.</p>","PeriodicalId":79757,"journal":{"name":"Topics in health record management","volume":"12 4","pages":"8-16"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Techniques for dataset design: a utilization management system model.\",\"authors\":\"S R Fuller, S A O'Gara\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Designing a clinical information system offers a sense of accomplishment similar to that of a dramatic performance. The development of the data dictionary and proposed system description requires the same attention to detail as stage directions in a script. The people involved in daily system operation are of key importance in developing a clear understanding of how things actually happen in the information flow and decision process. Once the business rules are defined and edits and conditions are developed to ensure data integrity, it is time to step back and let the performance begin. The real power of the user-designed system, like that of a performance before a live audience, comes with the ability to query the data for answers to issues and problems decision makers did not face at the time of the initial system design.</p>\",\"PeriodicalId\":79757,\"journal\":{\"name\":\"Topics in health record management\",\"volume\":\"12 4\",\"pages\":\"8-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-05-01\",\"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}
Techniques for dataset design: a utilization management system model.
Designing a clinical information system offers a sense of accomplishment similar to that of a dramatic performance. The development of the data dictionary and proposed system description requires the same attention to detail as stage directions in a script. The people involved in daily system operation are of key importance in developing a clear understanding of how things actually happen in the information flow and decision process. Once the business rules are defined and edits and conditions are developed to ensure data integrity, it is time to step back and let the performance begin. The real power of the user-designed system, like that of a performance before a live audience, comes with the ability to query the data for answers to issues and problems decision makers did not face at the time of the initial system design.