A systematic review on natural language processing systems for eligibility prescreening in clinical research.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 28, 2021

Abstract

OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.

Authors

  • Betina Idnay
    School of Nursing, Columbia University, New York, New York, USA.
  • Caitlin Dreisbach
    University of Virginia, School of Nursing, Charlottesville, VA, USA; University of Virginia, Data Science Institute, Charlottesville, VA, USA.
  • Chunhua Weng
    Department of Biomedical Informatics, Columbia University.
  • Rebecca Schnall
    School of Nursing, Columbia University, New York, New York, USA.

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