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
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
9Topics & keywords
Topics
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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