SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation

ArXi:2505.04152v2 Announce Type: replace Effective patient-provider communication is difficult to assess at scale. We examine whether large language models (LLMs) can track 20 social behaviors from clinical transcripts without fine-tuning. Across three model families and multiple prompting strategies, LLMs reliably detect social signals, though performance varies by patient race and visit segment. To address this variability under query-only API constraints, we