{"title":"在Kimball集成数据仓库中满足医疗保健研究需求","authors":"R. Hart, A. Kuo","doi":"10.1109/DSAA.2016.91","DOIUrl":null,"url":null,"abstract":"Business Intelligence and the Kimball methodology, often referred to as dimensional modelling, are well established in data warehousing as a successful means of turning data into information. These techniques have been utilized in multiple business areas such as banking, manufacturing, marketing, sales, healthcare and more. Several articles have also shown how the Kimball approach can and has been used in the development of clinical research databases. However, these articles have also shown that there are weaknesses to the Kimball methodology when applied to complex areas such as clinical research. This paper describes our approach to address these weaknesses and meet the more sophisticated needs of health researchers by leveraging relationships within the underlying data and advanced techniques in the Kimball methodology.","PeriodicalId":193885,"journal":{"name":"2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Meeting Health Care Research Needs in a Kimball Integrated Data Warehouse\",\"authors\":\"R. Hart, A. Kuo\",\"doi\":\"10.1109/DSAA.2016.91\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Business Intelligence and the Kimball methodology, often referred to as dimensional modelling, are well established in data warehousing as a successful means of turning data into information. These techniques have been utilized in multiple business areas such as banking, manufacturing, marketing, sales, healthcare and more. Several articles have also shown how the Kimball approach can and has been used in the development of clinical research databases. However, these articles have also shown that there are weaknesses to the Kimball methodology when applied to complex areas such as clinical research. This paper describes our approach to address these weaknesses and meet the more sophisticated needs of health researchers by leveraging relationships within the underlying data and advanced techniques in the Kimball methodology.\",\"PeriodicalId\":193885,\"journal\":{\"name\":\"2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSAA.2016.91\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSAA.2016.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Meeting Health Care Research Needs in a Kimball Integrated Data Warehouse
Business Intelligence and the Kimball methodology, often referred to as dimensional modelling, are well established in data warehousing as a successful means of turning data into information. These techniques have been utilized in multiple business areas such as banking, manufacturing, marketing, sales, healthcare and more. Several articles have also shown how the Kimball approach can and has been used in the development of clinical research databases. However, these articles have also shown that there are weaknesses to the Kimball methodology when applied to complex areas such as clinical research. This paper describes our approach to address these weaknesses and meet the more sophisticated needs of health researchers by leveraging relationships within the underlying data and advanced techniques in the Kimball methodology.