2021
DOI: 10.1016/j.jbi.2021.103789
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Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data

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Cited by 27 publications
(20 citation statements)
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“…Of the 17 custom RDRs live as of July 2021, academic output includes but is not limited to that from Cardiac Imaging, 30 , 31 Digestive Care, 32 Mental Health, 33 , 34 Myeloproliferative Neoplasms, 35 , 36 Pulmonary and Critical Care, 37 , 38 and Stroke. 39 Largely driven by investigators with grant funding, RDR projects have generated data marts to address specific clinical research questions (eg, predictors of outcomes in hospitalized cirrhotic patients) while also yielding generalizable resources for the institution, such as an i2b2 eye exam ontology from Ophthalmology and surgical pathology report NLP from Urology.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Of the 17 custom RDRs live as of July 2021, academic output includes but is not limited to that from Cardiac Imaging, 30 , 31 Digestive Care, 32 Mental Health, 33 , 34 Myeloproliferative Neoplasms, 35 , 36 Pulmonary and Critical Care, 37 , 38 and Stroke. 39 Largely driven by investigators with grant funding, RDR projects have generated data marts to address specific clinical research questions (eg, predictors of outcomes in hospitalized cirrhotic patients) while also yielding generalizable resources for the institution, such as an i2b2 eye exam ontology from Ophthalmology and surgical pathology report NLP from Urology.…”
Section: Resultsmentioning
confidence: 99%
“…To date, the COVID IDR has supported more than 13 publications. 37 , 38 , 40–51 A data mart created as part of the Pulmonary and Critical Care RDR for sepsis research supported WCM action early in the COVID-19 pandemic. 37 …”
Section: Resultsmentioning
confidence: 99%
“…We did a retrospective study at the New York Presbyterian Hospital-Weill Cornell Medical Center that compared two critically ill cohorts with COVID-19 ( 4 ) and sepsis-induced ARDS ( 5 , 6 ), respectively. Adult patients in the COVID-19 cohort were admitted from March 3, 2020, to July 10, 2020.…”
Section: Methodsmentioning
confidence: 99%
“…(4) On a related topic of finding patients, but for the purpose of trial recruitments, Helmer and the team at VUMC created and implemented a COVID-19 recruitment data mart, to facilitate time-sensitive trial opportunities such as COVID-19 [15] . (5) To support care at intensive care units (ICU), a group of researchers at New York-Presbyterian/Weill Cornell Medical Center has developed the Critical carE Database for Advanced Research (CEDAR), a method for extracting and transforming data from EHR systems for ICU uses [16] . Secondary use of EHRs data for clinical research remains challenging and the proposed methods here for COVID-19 data extraction and conversion could be generalizable to other diseases.…”
Section: Clinical Research and Practice Using Electronic Health Recordsmentioning
confidence: 99%
“… Methodological Review Clinical research and practice (13) [8] Making science computable: Developing code systems for statistics, study design, and risk of bias Alper, B. S. Special Communication [9] Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models Pedrera-Jimenez, M. Original Research [10] Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public Taber, P. Original Research [11] Visual comprehension and orientation into the COVID-19 CIDO ontology Zheng, L. Original Research [12] Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort DeLozier, S. Special Communication [13] Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework Lybarger, K. Original Research [14] ELII: A novel inverted index for fast temporal query, with application to a large Covid-19 EHR dataset Huang, Y. Original Research [15] Creating and implementing a COVID-19 recruitment Data Mart Helmer, T. T. Special Communication [16] Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data Schenck, E. J. Special Communication [17] ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes Zhao, J.…”
Section: Introductionmentioning
confidence: 99%