Curating and Analyzing Real-World Data for Critical Care Research in COVID-19 and Beyond

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 was recorded on Sunday, January 21, at SCCM's 2024 Critical Care Congress and described 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 discussed 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.
Not Your Grandparents' Evidence: Advancing Critical Care Research and Practice Through Real-World Evidence
Michelle Gong, MD, MS
The Edge Tool: A Practical Approach to Data Harmonization
Danielle Boyce
Leveraging Real-World Data in Adaptive and Embedded Trials
Laura Evans, MD, MSc, FCCM
Bias and Stigma in Clinical Research: How Real-World Evidence Helps Us Care for Real Patients
Karen Lutrick, PhD
The CURE Drug Repurposing Collaboratory: Capturing Real-World Clinical Outcome Data to Advance Drug Repurposing and Inform Future Clinical Trials for Diseases of High Unmet Medical Need
Smith Heavner, PhD, RN