Professor Emory University Hospital Atlanta, Guam, United States
Disclosure(s):
Jonathan Sevransky, MD, MHS, FCCM: Regeneron: University Grants/Research Support (Ongoing)
Advancing critical care research requires the development and dissemination of scalable solutions to extract large real-world data datasets from electronic health records and powerful augmented intelligence tools to analyze them. This session describes collaborations between SCCM's Discovery, the Critical Care Research Network, and the CURE Drug Repurposing Collaboratory to build infrastructure to address this challenge and study a wide range of diseases and conditions of high unmet clinical need. Speakers will discuss use cases for real-world data, methods to address bias and design adaptive trials, building collaborations and networks, and the Edge Tool, a package of tools to support this work.
Congress features sessions on a record-breaking number of new journal articles, guidelines, and research from SCCM and other leading medical journals. Find details here.
Learning Objectives:
Evaluate the appropriateness of using real-world data and describe the role of real-world data in advancing the practice and study of critical care
Explain four key features of the Edge Tool that have been successfully implemented using critical care conditions as use cases (e.g., COVID-19 and sepsis) and describe the value of using a common data model in institutions
Plan observational, adaptive, and embedded interventional studies leveraging real-world data from the electronic health record
Describe how real-world data can be used to capture social drivers of health, providing more context to decrease bias and stigma in clinical research
Describe the benefits of large, open-source collaborations to address emerging diseases and adaptable infrastructure for the capture and dissemination of real-world evidence
