Can large language models assist with pediatric dosing accuracy?
Key Message Large Language Models (LLMs) like ChatGPT-4o and Claude-3.0 demonstrate perfect accuracy and significantly faster response times in pediatric medication dosage calculations, showing potential to reduce errors and save time. Addition to Existing Literature This study provides novel insights by quantitatively comparing LLM performance with experienced nurses, contributing to the understanding of AI's role in improving medication safety. Impact The findings emphasize the value of LLMs as supplemental tools in healthcare, particularly in high-stakes pediatric care, where they can reduce calculation errors and improve clinical efficiency.
Authors
- Mor Saban (ORCID: https://orcid.org/0000-0001-6869-0907)
- Erika Kerner
- Chedva Levin (ORCID: https://orcid.org/0000-0002-3336-4279)
- Brurya Orkaby
Institutions
- Tel Aviv University (IL)
- Jerusalem College of Technology (IL)
- Sheba Medical Center (IL)
- Shaare Zedek Medical Center (IL)
Publication Details
- Journal
- Pediatric Research
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1038/s41390-025-03980-8
- Citations
- 10
- Primary Topic
- Patient Safety and Medication Errors
- Type
- article
- Field-Weighted Citation Impact
- 25.17