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    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.

    The affect of
    COVID-19 in
    neonatal patients
    Epidemiology of neonatal COVID-19 in the United States
    Client: Children’s Health of Orange County
    Most neonates infected with SARS-CoV-2 were asymptomatic or developed mild illness without need for respiratory support...
    Cerner RWD Publications - Dark
    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.
    Impact of diabetes
    on COVID-19 hospitalization
    Association of congenital and acquired cardiovascular conditions with COVID-19 severity among pediatric patients in the US
    Client: University of Missouri
    COVID-19 may trigger
    poor asthma control
    in kids
    COVID-19 infection may trigger poor asthma control in children
    Client: Children’s Hospital of Orange County
    COVID-19 severity among kids with
    previous or
    preexisting cardiovascular
    conditions
    Association of congenital and acquired cardiovascular conditions with COVID-19 severity among pediatric patients in the US
    Client: Children’s Hospital of Orange County
    Comparing outcomes of
    IV medications in
    stroke patients
    Outcomes associated with IV tenecteplase and IV alteplase for acute ischemic stroke with or without thrombectomy in real-world settings in the United States
    Client: University of Missouri
    Higher ROX at time
    of intubation among
    COVID-19 patient survival
    Intubation Timing in COVID-19 Patients Based on ROX Index and Association with Patient Outcomes
    Client: ChristianaCare
    Prehospital antiplatelet
    therapy linked to COVID-19
    patient survival
    Association of prehospital antiplatelet therapy with survival in patients hospitalized with COVID-19: A propensity score-matched analysis
    Client: George Washington University
    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
    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
    Cerner Real-World Data
    Advance research discovery with national, de-identified, person-centric data.
    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
    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
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