2012
DOI: 10.1136/amiajnl-2011-000782
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Patient characteristics associated with venous thromboembolic events: a cohort study using pooled electronic health record data

Abstract: With the right clinical research informatics tools and EHR data, some types of very large cohort studies can be completed with minimal resources.

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Cited by 119 publications
(87 citation statements)
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“…If validated for use, such a large cohort provides a potentially rich archive for investigation into diseases of low prevalence. This study substantiates the external validation of the EPM database from previous studies, [14][15][16] clearing the way for the EPM database to be used to test other hypotheses in the MS population.…”
Section: Discussionsupporting
confidence: 58%
See 1 more Smart Citation
“…If validated for use, such a large cohort provides a potentially rich archive for investigation into diseases of low prevalence. This study substantiates the external validation of the EPM database from previous studies, [14][15][16] clearing the way for the EPM database to be used to test other hypotheses in the MS population.…”
Section: Discussionsupporting
confidence: 58%
“…Explorys Enterprise Performance Management (EPM) is a Health Insurance Portability and Accountability Act-compliant database containing de-identified clinical data for 50 million patients. 13 It has been externally validated in large retrospective studies characterizing venous thromboembolic events, 14 the effect of obesity on total knee arthroplasty, 15 and secondary malignancies. 16 We aimed to use the EPM database as a novel approach to assessing the association between the use of DMTs, including interferon, and depression in the MS population, comparing the results with those from the 2008 study by Patten et al 12 …”
Section: Study Populationmentioning
confidence: 99%
“…The database collects data from billing, International Classification of Diseases diagnosis codes, laboratory studies, and procedures, and are then de-identified and standardized [2].…”
mentioning
confidence: 99%
“…Patient level electronic medical record (EMR) data used in the study were extracted using Explorys (16 Study groups. Study subjects were identified as having chronic inflammatory disease (CID), being a member of the general hospital population (GH), or being a hospital employee/healthy referent (HR).…”
Section: Methodsmentioning
confidence: 99%