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A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools.
Heavner, Smith F; Anderson, Wesley; Kashyap, Rahul; Dasher, Pamela; Mathé, Ewy A; Merson, Laura; Guerin, Philippe J; Weaver, Jeff; Robinson, Matthew; Schito, Marco; Kumar, Vishakha K; Nagy, Paul.
Affiliation
  • Heavner SF; CURE Drug Repurposing Collaboratory, Critical Path Institute, Tucson, AZ.
  • Anderson W; Department of Public Health Sciences, Clemson University, Clemson, SC.
  • Kashyap R; Quantitative Medicine, Critical Path Institute, Tucson, AZ.
  • Dasher P; Department of Research, WellSpan Health, York, PA.
  • Mathé EA; Department of Anesthesia and Critical Care Medicine, Mayo Clinic, Rochester, MN.
  • Merson L; CURE Drug Repurposing Collaboratory, Critical Path Institute, Tucson, AZ.
  • Guerin PJ; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD.
  • Weaver J; ISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.
  • Robinson M; Infectious Diseases Data Observatory, University of Oxford, Oxford, United Kingdom.
  • Schito M; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Kumar VK; Office of Information Technology, Emory University, Atlanta, GA.
  • Nagy P; Department of Medicine-Infectious Disease, Johns Hopkins University, Baltimore, MD.
Crit Care Explor ; 5(4): e0893, 2023 Apr.
Article in En | MEDLINE | ID: mdl-37025303
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Crit Care Explor Year: 2023 Document type: Article Affiliation country: Azerbaijan

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Crit Care Explor Year: 2023 Document type: Article Affiliation country: Azerbaijan