Cosby G Arnold, Brandon Sonn, Frederick J Meyers, Alexis Vest, Richie Puls, Estelle Zirkler, Michelle Edelmann, Ian M Brooks, Andrew A Monte
{"title":"访问和利用来自电子健康记录数据仓库的临床和基因组数据","authors":"Cosby G Arnold, Brandon Sonn, Frederick J Meyers, Alexis Vest, Richie Puls, Estelle Zirkler, Michelle Edelmann, Ian M Brooks, Andrew A Monte","doi":"10.1186/s41231-023-00140-0","DOIUrl":null,"url":null,"abstract":"<p><p>Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research. Although imperfect, data warehouses are a powerful tool for harnessing a large amount of data to phenotype disease. They will have increasing relevance and applications in clinical research with growing sophistication in processes for EHR data abstraction, biobank integration, and cross-institutional linkage.</p>","PeriodicalId":75244,"journal":{"name":"Translational medicine communications","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10786622/pdf/","citationCount":"0","resultStr":"{\"title\":\"Accessing and utilizing clinical and genomic data from an electronic health record data warehouse.\",\"authors\":\"Cosby G Arnold, Brandon Sonn, Frederick J Meyers, Alexis Vest, Richie Puls, Estelle Zirkler, Michelle Edelmann, Ian M Brooks, Andrew A Monte\",\"doi\":\"10.1186/s41231-023-00140-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research. Although imperfect, data warehouses are a powerful tool for harnessing a large amount of data to phenotype disease. They will have increasing relevance and applications in clinical research with growing sophistication in processes for EHR data abstraction, biobank integration, and cross-institutional linkage.</p>\",\"PeriodicalId\":75244,\"journal\":{\"name\":\"Translational medicine communications\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10786622/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational medicine communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41231-023-00140-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/3/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational medicine communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41231-023-00140-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/3/2 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Accessing and utilizing clinical and genomic data from an electronic health record data warehouse.
Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research. Although imperfect, data warehouses are a powerful tool for harnessing a large amount of data to phenotype disease. They will have increasing relevance and applications in clinical research with growing sophistication in processes for EHR data abstraction, biobank integration, and cross-institutional linkage.