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KMID : 1141520170320010090
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Endocrinology and Metabolism
2017 Volume.32 No. 1 p.90 ~ p.98
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Development of Clinical Data Mart of HMG-CoA Reductase Inhibitor for Varied Clinical Research
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Kim Hun-Sung
Kim Hyun-Ah
Jeong Yoo-Jin
Kim Tong-Min
Yang So-Jung
Baik Sun-Jung
Lee Seung-Hwan
Cho Jae-Hyoung
Choi In-Young
Yoon Kun-Ho
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Abstract
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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).
Conclusion: 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.
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KEYWORD
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Electronic health records, Clinical data mart, Hydroxymethylglutaryl-CoA reductase inhibitors, Clinical data warehouse
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