Using AI-generated suggestions from ChatGPT to optimize clinical decision support

Vanderbilt University Medical Center · The University of Texas Southwestern Medical Center · +1 more institution

PubMed
Indexed incrossrefpubmed

Abstract

Objective

To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions.

Methods

We supplied summaries of CDS logic to ChatGPT, an artificial intelligence (AI) tool for question answering that uses a large language model, and asked it to generate suggestions. We asked human clinician reviewers to review the AI-generated suggestions as well as human-generated suggestions for improving the same CDS alerts, and rate the suggestions for their usefulness, acceptance, relevance, understanding, workflow, bias, inversion, and redundancy.

Citation impact

396
total citations
FWCI
14.28
Percentile
100%
References
39
Citations per year

Authors

9

Topics & keywords

Keywords
  • Clinical decision support system
  • Computer science
  • Decision support system
  • Artificial intelligence
  • Data science
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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Funding