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A head-to-head comparison of the accuracy of commercially available large language models for infection prevention
Oluchi J Abosi1, Takaaki Kobayashi1, Natalie Ross1
1University of Iowa Health Care, Iowa City, IA, USA.
Infection Control and Hospital Epidemiology
|December 12, 2024
Abstract:
We investigated the accuracy and completeness of four large language model (LLM) artificial intelligence tools. Most LLMs provided acceptable answers to commonly asked infection prevention questions (accuracy 98.9%, completeness 94.6%). The use of LLMs to supplement infection prevention consults should be further explored.
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