title: Development of Clinical Data Mart of HMG-CoA Reductase Inhibitor for Varied Clinical Research.
abstract: BACKGROUND
  The increasing use of electronic medical record (EMR) systems for documenting clinical medical data has led to EMR data being increasingly accessed for clinical trials. In this study, a database of patients who were prescribed statins for the first time was developed using EMR data. A clinical data mart (CDM) was developed for cohort study researchers.
  
  
  METHODS
  Seoul St. Mary's Hospital implemented a clinical data warehouse (CDW) of data for ~2.8 million patients, 47 million prescription events, and laboratory results for 150 million cases. We developed a research database from a subset of the data on the basis of a study protocol. Data for patients who were prescribed a statin for the first time (between the period from January 1, 2009 to December 31, 2015), including personal data, laboratory data, diagnoses, and medications, were extracted.
  
  
  RESULTS
  We extracted initial clinical data of statin from a CDW that was established to support clinical studies; the data was refined through a data quality management process. Data for 21,368 patients who were prescribed statins for the first time were extracted. We extracted data every 3 months for a period of 1 year. A total of 17 different statins were extracted. It was found that statins were first prescribed by the endocrinology department in most cases (69%, 14,865/21,368).
  
  
  CONCLUSIONS
  Study researchers can use our CDM for statins. Our EMR data for statins is useful for investigating the effectiveness of treatments and exploring new information on statins. Using EMR is advantageous for compiling an adequate study cohort in a short period.
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Hun Sung
authors.identifier: http://orcid.org/0000-0002-7002-7300
authors.initials: HS
authors.lastname: Kim
authors.affiliation: College of Pharmacy, Sookmyung Women's University, Seoul, Korea.
authors.forename: Hyunah
authors.initials: H
authors.lastname: Kim
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Yoo Jin
authors.initials: YJ
authors.lastname: Jeong
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Tong Min
authors.initials: TM
authors.lastname: Kim
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: So Jung
authors.initials: SJ
authors.lastname: Yang
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Sun Jung
authors.initials: SJ
authors.lastname: Baik
authors.affiliation: Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Seung Hwan
authors.initials: SH
authors.lastname: Lee
authors.affiliation: Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Jae Hyoung
authors.initials: JH
authors.lastname: Cho
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea. iychoi@catholic.ac.kr.
authors.forename: In Young
authors.initials: IY
authors.lastname: Choi
authors.affiliation: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. yoonk@catholic.ac.kr.
authors.forename: Kun Ho
authors.initials: KH
authors.lastname: Yoon
keywords: Clinical data mart; Clinical data warehouse; Electronic health records; Hydroxymethylglutaryl-CoA reductase inhibitors