Researchers have developed a pipeline using large language models (LLMs) to analyze patient-perceived physician traits from online reviews. This system extracts ten trait scores, including Big-Five-style dimensions, from millions of U.S. physician reviews. The analysis revealed that male physicians generally receive higher trait scores, particularly in clinical competence, and identified four distinct physician archetypes based on these traits. This work aims to map the U.S. clinical workforce as perceived through LLM analysis of reviews, with potential implications for understanding bias and how LLMs influence patient choices. AI
IMPACT Provides a framework for analyzing qualitative data at scale, potentially influencing patient-provider interactions and healthcare research.
RANK_REASON Academic paper detailing a novel methodology and findings. [lever_c_demoted from research: ic=1 ai=1.0]
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