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| Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research |
| Dukyong Yoon, Eun Kyoung Ahn, Man Young Park, Soo Yeon Cho, Patrick Ryan, Martijn J. Schuemie, Dahye Shin, Hojun Park, Rae Woong Park |
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Healthc Inform Res. 2016;22(1):54-58. Published online January 31, 2016 DOI: https://doi.org/10.4258/hir.2016.22.1.54 |
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Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research Healthcare Informatics Research. 2016;22(1):54  Thirty-day Hospital Readmission Prediction Model Based on Common Data Model with Weather and Air Quality Data . 2021; Converting to a Common Data Model: What is Lost in Translation? Drug Safety. 2014;37(11):893-896 The Distributed Research Network, Observational Health Data Sciences and Informatics, and the South Korean Research Network The Korean Journal of Medicine. 2019;94(4):309-314 Conversion of a French Electronic Medical Record (Emr) Database into the Observational Medical Outcomes Partnership Common Data Model Value in Health. 2017;20(9):A741 Thirty-day hospital readmission prediction model based on common data model with weather and air quality data Scientific Reports. 2021;11(1): A data quality assessment to inform hypertension surveillance using primary care electronic medical record data from Alberta, Canada BMC Public Health. 2021;21(1): Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study Scientific Reports. 2021;11(1): Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data Data Mining and Knowledge Discovery. 2014;29(4):1033-1069 Data extraction from a semi-structured electronic medical record system for outpatients: A model to facilitate the access and use of data for quality control and research Health Informatics Journal. 2009;15(4):305-319 |
