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

Video Transcription

Video Summary

This session covered real-world evidence in clinical research, focusing on the use of real-world data, which includes information from electronic health records, insurance claims, and wearable devices, among other sources. Various experts discussed pragmatic trials embedded within healthcare settings that utilize real-world data for research purposes.<br /><br />Key points included the methods and advantages of using real-world data in research, such as cost-effectiveness, timeliness, and broader population access. However, limitations include data privacy concerns, standardization issues, and existing healthcare biases. To mitigate these problems, presenters emphasized developing standardized data systems, like the OMOP common data model, and frameworks to ensure data quality and integrity.<br /><br />Real-world data's potential was showcased through examples of adaptive and embedded trials, particularly during the COVID-19 response. These trials demonstrated the capacity to generate timely and robust evidence applicable in real-world settings. Moreover, initiatives like the CURE Drug Repurposing Collaboratory were highlighted for their role in leveraging real-world data for drug repurposing, showcasing a collaborative approach to improving healthcare delivery.<br /><br />A notable takeaway was the emphasis on addressing biases and stigma in health data, which can limit research by excluding certain populations. Ensuring inclusivity and equitable access in research design is crucial, especially when using real-world data, which could potentially reflect and perpetuate existing disparities in healthcare.<br /><br />Overall, the session underscored the transformative potential of real-world evidence in advancing clinical research, while also highlighting the challenges and ethical considerations that accompany its implementation.

Asset Caption

Two-Hour Concurrent Session | Curating and Analyzing Real-World Data for Critical Care Research in COVID-19 and Beyond

Meta Tag

Content Type Presentation

Membership Level Professional

Membership Level Select

Year 2024

Keywords

real-world evidence

clinical research

real-world data

electronic health records

pragmatic trials

data privacy

OMOP common data model

adaptive trials

COVID-19 response

CURE Drug Repurposing Collaboratory

healthcare biases

data standardization

equitable access

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