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Help expand critical care research and improve patient outcomes.
Network, learn, and discuss major topics in a welcoming environment.
Examine the importance of data visualization in critical care research.
Leverage the opportunities afforded by the rapidly evolving field of data science to share resources, advance research, and improve clinical outcomes for critically ill and injured patients.
Find a list of the current Endorsed Projects, Discovery Programs, and published works.
Get started by joining the SCCM Connect group on SCCM Connect. Network with like-minded research peers and stay up to date with Discovery news and leaders.
Explore services and resources to assist in research including data storage, management and analysis, Central IRB services, and project management.
SARI-PREP is a multicenter consortium funded by the National Foundation for the Centers for Disease Control and Prevention. It is being assembled with the goal of providing the infrastructure to rapidly collect prospective data on clinical risks and outcomes, hospital-level stress, and biologic specimens that will aid in the rapid development of diagnostic and treatment approaches.
The Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 is a registry of current hospital care patterns that allows evaluation of safety and observational effectiveness of COVID-19 practices and determination of variations in practice across hospitals.
Learn more about Clinical Investigator Proposals and Discovery Clinical Investigators Meetings.
Research grants offer opportunities for established and junior researchers. Learn more about funding opportunities, including the SCCM-Weil Research Grant and the Discovery Research Grant.
Bayesian critical care trials are becoming increasingly popular because of their adaptive and flexible qualities. Michael O. Harhay, MPH, MS, PhD, cochair of the Society of Critical Care Medicine's Discovery Research Methodology Workgroup, reviews the latest information on Bayesian trials and how best to implement this trial method during this webcast.
Non-Member Price: $45.00Associate Price: $40.00Professional Price: $0.00Select Price: $0.00
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The bias created by confounders significantly affects interpretation of outcome in observational studies. This webcast from Discovery, the Critical Care Research Network:
Analyzes the potential impact of confounders on the interpretation of outcomes in observational studies
Evaluates the effectiveness of covariate adjustment using multivariable regression models in controlling for confounders in observational studies
Creates a plan to apply propensity score methods to match individuals in the control group to the exposure group based on equal propensity scores
Non-Member Price: $45.00Member Price: $40.00
The American College of Radiology® (ACR®) Center for Research and Innovation (CRI) has partnered with SCCM, serving as the overall imaging repository for the VIRUS COVID-19 Registry. The ACR CRI is collecting all diagnostic images for the VIRUS COVID-19 Registry, creating a link between the images and clinical data collected by SCCM and archiving the images to make them accessible to participating sites and interested researchers. For more information please contact: email@example.com
The STOP-VIRUS Collaborative is a limited-time network of intensive care units focused on improving outcomes for patients with COVID-19. This learning collaborative focuses on interventions aimed at reducing marked variations in the outcomes of critically ill patients unexplained by demographics, comorbidities, and severity of illness.