Socioeconomic Inference in LLM Medical Triage: Same Symptoms, Different ZIP Code
arXiv:2607.22605v1 Announce Type: new Abstract: We investigate whether large language models alter medical triage recommendations for identical symptoms when only the patient's socioeconomic status (SES) varies. Using three deployment-tier models (Gemini 3.5 Flash, Claude Sonnet 4.6, GPT-5.4-mini), we hold a single neurological symptom profile fixed and vary the SES signal along two channels: explicit (insurance status, occupation, housing) and implicit (a US ZIP code, with no other socioeconomi
Record details
Published: 28 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 28 July 2026
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ethics.ai (28 July 2026), “Socioeconomic Inference in LLM Medical Triage: Same Symptoms, Different ZIP Code,” evidence record 13780, https://ethics.ai/record/13780 (originally published by arXiv cs.CY).
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