{
  "id": 13780,
  "url": "https://arxiv.org/abs/2607.22605",
  "title": "Socioeconomic Inference in LLM Medical Triage: Same Symptoms, Different ZIP Code",
  "summary": "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",
  "authors": "Qi Han Wong",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": "openai,anthropic,google",
  "regions": null,
  "published_at": "2026-07-28T04:00:00.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13780",
  "original_url": "https://arxiv.org/abs/2607.22605",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}