Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.

Journal: Hospital pediatrics
Published Date: May 1, 2023

Abstract

BACKGROUND: Identifying children at high risk with complex health needs (CCHN) who have intersecting medical and social needs is challenging. This study's objectives were to (1) develop and evaluate an electronic health record (EHR)-based clinical predictive model ("model") for identifying high-risk CCHN and (2) compare the model's performance as a clinical decision support (CDS) to other CDS tools available for identifying high-risk CCHN.

Authors

  • David Y Ming
    Departments of Pediatrics.
  • Congwen Zhao
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
  • Xinghong Tang
    Janssen Research & Development, LLC, Raritan, New Jersey.
  • Richard J Chung
    Departments of Pediatrics.
  • Ursula A Rogers
    Duke AI Health, Duke University School of Medicine, Durham, North Carolina.
  • Andrew Stirling
    Science Policy Research Unit, University of Sussex, Falmer, Brighton, BN1 9SL, UK.
  • Nicoleta J Economou-Zavlanos
    Duke University School of Medicine, Durham, North Carolina, USA.
  • Benjamin A Goldstein
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

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