Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship
Daniele Roberto Giacobbe, Cristina Marelli, Byomkesh Manna, Donatella Padua, Alberto Malva, Sabrina Guastavino, Alessio Signori, Sara Mora, Nicola Rosso, Cristina Campi, Michele Piana, Ylenia Murgia, Mauro Giacomini, Matteo Bassetti
Abstract
Antibiotic prescribing requires balancing optimal treatment for patients with reducing antimicrobial resistance. There is a lack of standardization in research on using large language models (LLMs) for supporting antibiotic prescribing, necessitating more efforts to identify biases and misinformation in their outputs. Educating future medical professionals on these aspects is crucial for ensuring the proper use of LLMs for supporting antibiotic prescribing, providing a deeper understanding of their strengths and limitations.