Carolyn Bremer
A5014692439- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Machine Learning in Healthcare
- Respiratory viral infections research
- Kawasaki Disease and Coronary Complications
- Copyright and Intellectual Property
- COVID-19 and healthcare impacts
- Pathogenesis and Treatment of Hiccups
- Sepsis Diagnosis and Treatment
- Injury Epidemiology and Prevention
- Trauma and Emergency Care Studies
- Chronic Disease Management Strategies
- Synthesis and Reactivity of Sulfur-Containing Compounds
- Pregnancy-related medical research
- COVID-19 diagnosis using AI
Stony Brook University
2021-2022
The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.
<h3>Importance</h3> Understanding of SARS-CoV-2 infection in US children has been limited by the lack large, multicenter studies with granular data. <h3>Objective</h3> To examine characteristics, changes over time, outcomes, and severity risk factors within National COVID Cohort Collaborative (N3C). <h3>Design, Setting, Participants</h3> A prospective cohort study encounters end dates before September 24, 2021, was conducted at 56 N3C facilities throughout US. Participants included younger...
The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...
Abstract Objective The goals of this study were to harmonize data from electronic health records (EHRs) into common units, and impute units that missing. Materials Methods National COVID Cohort Collaborative (N3C) table laboratory measurement data—over 3.1 billion patient over 19 000 unique concepts in the Observational Medical Outcomes Partnership (OMOP) common-data-model format 55 partners. We grouped ontologically similar OMOP together for 52 variables relevant COVID-19 research,...
Abstract Importance SARS-CoV-2 Objective To determine the characteristics, changes over time, outcomes, and severity risk factors of affected children within National COVID Cohort Collaborative (N3C) Design Prospective cohort study patient encounters with end dates before May 27th, 2021. Setting 45 N3C institutions Participants Children <19-years-old at initial testing Main Outcomes Measures Case incidence demographic comorbidity factors, vital sign laboratory trajectories, clinical acute...