ArticleJournal of biomedical informatics2021
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data.
Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Targeting macrophage ferritin heavy chain mitigates ferroptosis and lung injury in experimental acute respiratory distress syndrome.Nature communications · 2026Article
- Targeted deletion of macrophage ferritin heavy chain protects from macrophage ferroptosis in acute respiratory distress syndrome.Research square · 2026Article
- A method to enable clinical and translational research teams with custom real-world data from electronic health record systems.Journal of clinical and translational science · 2026Article
- Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.Nature communications · 2025Article
- Preparing for future pandemics: Automated intensive care electronic health record data extraction to accelerate clinical insights.Journal of intensive medicine · 2025Article
- Social Networks as a Key Health Determinant in Acute Illness Recovery: A Lesson from the COVID-19 Pandemic.The American journal of medicine · 2025Article
- SOFA in sepsis: with or without GCS.European journal of medical research · 2024Article
- Effect of Sepsis on Death as Modified by Solid Organ Transplantation.Open forum infectious diseases · 2023Article
- The Sequential Organ Failure Assessment (SOFA) Score: has the time come for an update?Critical care (London, England) · 2023Review
- Comparison of a Target Trial Emulation Framework vs Cox Regression to Estimate the Association of Corticosteroids With COVID-19 Mortality.JAMA network open · 2022Article
- Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19.iScience · 2022Article
- Sepsis subphenotyping based on organ dysfunction trajectory.Critical care (London, England) · 2022Article
- Novel informatics approaches to COVID-19 Research: From methods to applications.Journal of biomedical informatics · 2022Article
- Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- An architecture for research computing in health to support clinical and translational investigators with electronic patient data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- A methodology to facilitate critical care research using multiple linked electronic, clinical and administrative health records at population scale.International journal of population data science · 2022Article
- Critical Care Database Comprising Patients With Infection.Frontiers in public health · 2022Article
- Evaluation of Albumin Kinetics in Critically Ill Patients With Coronavirus Disease 2019 Compared to Those With Sepsis-Induced Acute Respiratory Distress Syndrome.Critical care explorations · 2021Article
- Hyperglycemia in acute COVID-19 is characterized by insulin resistance and adipose tissue infectivity by SARS-CoV-2.Cell metabolism · 2021Article
- Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Patients treated in an intensive care unit (ICU) are critically ill and require life-sustaining organ failure support. Existing critical care data resources are limited to a select number of institutions, contain only ICU data, and do not enable the study of local changes in care patterns. To address these limitations, we developed the Critical carE Database for Advanced Research (CEDAR), a method for automating extraction and transformation of data from an electronic health record (EHR) system. Compared to an existing gold standard of manually collected data at our institution, CEDAR was statistically similar in most measures, including patient demographics and sepsis-related organ failure assessment (SOFA) scores. Additionally, CEDAR automated data extraction obviated the need for manual collection of 550 variables. Critically, during the spring 2020 COVID-19 surge in New York City, a modified version of CEDAR supported pandemic response efforts, including clinical operations and research. Other academic medical centers may find value in using the CEDAR method to automate data extraction from EHR systems to support ICU activities.
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