Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Mar 1, 2021

Abstract

OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic health record data to assist nurses and physicians in prognostic and treatment decision making (ie, predictive CDSSs) in the hospital.

Authors

  • Jessica M Schwartz
    School of Nursing, Columbia University, New York, New York, United States.
  • Amanda J Moy
    Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Sarah C Rossetti
    School of Nursing, Columbia University, New York, New York, USA.
  • Noémie Elhadad
    Biomedical Informatics, Columbia University, New York, NY, USA.
  • Kenrick D Cato
    School of Nursing, Columbia University, New York, New York, United States.

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