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Assessing the Value of ChatGPT for Clinical Decision Support Optimization
Medrxiv : the Preprint Server for Health Sciences
|March 3, 2023
Summary
ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic, offering unique perspectives. While highly understandable and relevant, AI-generated suggestions showed moderate usefulness and low acceptance, bias, inversion, and redundancy.
Area of Science:
- Artificial Intelligence in Medicine
- Clinical Informatics
- Health Systems Research
Background:
- Clinical decision support (CDS) systems are crucial for optimizing healthcare delivery.
- Improving the logic of CDS alerts is essential for enhancing their effectiveness and minimizing alert fatigue.
- Human expertise is traditionally relied upon for refining CDS logic.
Conclusions:
- AI-generated suggestions can serve as a valuable supplement to human efforts in optimizing CDS alerts.
- ChatGPT has the potential to identify improvements in alert logic and aid experts in formulating suggestions.
- The application of large language models like ChatGPT in refining complex clinical logic marks a significant step towards advanced learning health systems.
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