Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.

Journal: Applied clinical informatics
Published Date: Jun 10, 2025

Abstract

BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clinical decision support system (AI-CDSS) for prediction of clinical deterioration leveraging signals from nursing documentation patterns. While a recent multi-site randomized controlled trial demonstrated its effectiveness in reducing inpatient mortality and length of stay, evaluating implementation outcomes is essential to ensure equitable results across patient populations.

Authors

  • Rachel Lee
    Department of Biomedical Informatics, Columbia University, New York, United States.
  • Kenrick Cato
    School of Nursing, Columbia University, New York City, NY, USA.
  • Patricia Dykes
    General Internal Medicine, Brigham and Women's Hospital Department of Medicine, Boston, United States.
  • Graham Lowenthal
    Brigham and Women's Hospital, Boston, MA.
  • Haomiao Jia
    School of Nursing, Columbia University, New York, New York, United States.
  • Temiloluwa Daramola
    Columbia University Irving Medical Center, Department of Biomedical Informatics, New York, NY, USA.
  • Sarah Collins Rossetti

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