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

Smith F. Heavner, Wesley Anderson, Rahul Kashyap, Pamela Dasher, Ewy A. Mathé, Laura Merson, Philippe J. Guerin, Jeff Weaver, Matthew Robinson, Marco Schito, Vishakha K. Kumar, Paul Nagy

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)E0893
JournalCritical Care Explorations
Volume5
Issue number4
DOIs
StatePublished - Apr 3 2023

Keywords

  • Observational Medical Outcomes Partnership (OMOP)
  • critical care
  • data harmonization
  • drug repurposing
  • electronic health record
  • real-world data

ASJC Scopus subject areas

  • Critical Care and Intensive Care Medicine

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