A Survey of Clinicians' Views of the Utility of Large Language Models.

Journal: Applied clinical informatics
PMID: 38442909

Abstract

OBJECTIVES:  Large language models (LLMs) like Generative pre-trained transformer (ChatGPT) are powerful algorithms that have been shown to produce human-like text from input data. Several potential clinical applications of this technology have been proposed and evaluated by biomedical informatics experts. However, few have surveyed health care providers for their opinions about whether the technology is fit for use.

Authors

  • Matthew Spotnitz
    Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
  • Betina Idnay
    School of Nursing, Columbia University, New York, New York, USA.
  • Emily R Gordon
    Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
  • Rebecca Shyu
    Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
  • Gongbo Zhang
    Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
  • Cong Liu
    Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
  • James J Cimino
  • Chunhua Weng
    Department of Biomedical Informatics, Columbia University.

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