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A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools

Authors :
Smith F. Heavner, PhD, RN
Wesley Anderson, PhD
Rahul Kashyap, MBBS, MBA
Pamela Dasher, BA
Ewy A. Mathé, PhD
Laura Merson
Philippe J. Guerin, MD, PhD
Jeff Weaver, MBA
Matthew Robinson, MD
Marco Schito, PhD
Vishakha K. Kumar, MD, MBA
Paul Nagy, PhD
Source :
Critical Care Explorations, Vol 5, Iss 4, p e0893 (2023)
Publication Year :
2023
Publisher :
Wolters Kluwer, 2023.

Abstract

COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.

Details

Language :
English
ISSN :
26398028 and 00000000
Volume :
5
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Critical Care Explorations
Publication Type :
Academic Journal
Accession number :
edsdoj.29276a53994545a181284456c7cbe0
Document Type :
article
Full Text :
https://doi.org/10.1097/CCE.0000000000000893