Skip to footer About Cerner RWD Powered by Real-World Data solutions, the Cerner RWD Publications page is a repository featuring clients’ academic research to help address health care issues. Learn more about Cerner RWD Publications. Subscribe to receive new articles every month. Subscribe Mortality risk in COVID-19 patients prescribed SSRIs antidepressants Mortality risk among patients with COVID-19 prescribed selective serotonin reuptake inhibitor antidepressants Client: University of California San Francisco Antidepressant use may be associated with reduced levels of several proinflammatory cytokines suggested to be involved with the development of severe COVID-19. ... Effects of malnutrition on COVID-19 severity in patients Long-term effects of malnutrition on severity of COVID-19 Client: Children's Hospital of Orange County Impact of race and ethnicity on COVID-19 adult patients The impact of race and ethnicity on outcomes in 19,584 adults hospitalized with COVID-19 Client: University of Texas Southwestern Medical Center Opioid use disorder and health service utilization among COVID-19 patients Opioid use disorder and health service utilization among COVID-19 patients in the US: A nationwide cohort from the Cerner Real-World Data Client: University of Utah Predicting interactions of drugs in COVID-19 clinical trials Drugs in COVID‐19 clinical trials: predicting transporter‐mediated drug‐drug interactions using in vitro assays and real‐world data Client: University of California San Francisco Cerner Real-World Data Advance research discovery with national, de-identified, person-centric data. Learn more Racial and ethnic outcomes of COVID-19 patients in emergency department Racial and ethnic differences and clinical outcomes of COVID-19 patients presenting to the emergency department Client: Emory Racial disparities in COVID-19 outcomes Racial disparities in COVID-19 outcomes exist despite comparable Elixhauser comorbidity indices between Blacks, Hispanics, Native Americans, and Whites Client: University of Utah Retrospective analysis of pregnant women with COVID-19 The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis Client: University of Utah Statistical learning for predicting COVID-19 severity among cardiovascular patients A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Client: Children's Hospital of Orange County Prognostic values of serum ferritin and D-dimer trajectory in COVID-19 patients Prognostic values of serum ferritin and d-dimer trajectory in patients with COVID-19 Client: University of Utah Acute ischemic stroke and COVID-19 Acute ischemic stroke and COVID-19 an analysis of 27,676 patients Client: University of Missouri Statins decrease mortality rate among COVID-19 patients Decreased mortality rate among COVID-19 patients prescribed statins: data from electronic health records in the U.S. Client: University of California San Francisco Habits of emergency physicians for diagnosis of non-traumatic headache A description of prescribing habits of emergency physicians for a diagnosis of non-traumatic headache using Cerner Health Facts, a national EHR database (5130). Client: Truman Medical Centers Small sleepers, big data Small sleepers, big data: leveraging big data to explore sleep disordered breathing in infants and young children Client: Children's Mercy Hospital HealtheDataLab: predicting multicenter pediatric readmissions HealtheDataLab – a cloud computing solution for data science and advanced analytics in health care with application to predicting multi-center pediatric readmissions. Client: Children’s Hospital of Orange County Relationships between COVID-19 and cardiovascular health outcomes Facilitating the study of relationships between COVID-19 and cardiovascular health outcomes using Cerner Real-World COVID-19 de-identified data set. Client: University of Missouri Sharp and smooth synthetic EHR data generation SMOOTH-GAN: towards sharp and smooth synthetic EHR data generation. Client: Stony Brook University Join the Cerner Learning Health Network Discover how to join a network of heterogenous health systems committed to sharing de-identified data and executing clinical research. Health systems can join with no capital investment or exclusivity required. Learn more Company About Us Perspectives Our Podcast Contact Us Events uCern uLearn Support CODE Cookie Policy Privacy Security Certified Health IT Investor Relations Terms of Use Newsroom Social Twitter LinkedIn YouTube Facebook Instagram Region Selector United States Copyright © 2021 Cerner Corporation. All Rights Reserved. By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookie Policy Cookies Settings Accept All Cookies