Large Language Models in Clinical Decision Support: A Systematic Review

Abstract

This systematic review evaluates the efficacy of large language models (LLMs) in clinical decision support systems across 47 healthcare institutions. Our findings demonstrate that GPT-based models achieved 94.2% diagnostic accuracy in internal medicine cases, while specialized medical LLMs showed superior performance in rare disease identification.

Keywords: artificial intelligence, clinical decision support, large language models, digital health