{
  "id": 6078,
  "url": "https://arxiv.org/abs/2604.14215v2",
  "title": "PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong",
  "summary": "To address the unsustainable rise in public health expenditures, the Hong Kong SAR Government is shifting its strategic focus to primary healthcare and encouraging citizens to use community resources to self-manage their health. However, official clinical guidelines are fragmented across disparate departments and formats, creating significant access barriers. While general-purpose Large Language Models (LLMs) such as ChatGPT and DeepSeek offer potential solutions for information accessibility, t",
  "authors": "Richard Wai Cheung Chan, Shanru Lin, Ya-nan Ma, Hao Chen, Liangjun Jiang, Wenqi Fan",
  "category": "research",
  "topics": "bias-fairness,healthcare",
  "orgs": "openai,deepseek",
  "regions": null,
  "published_at": "2026-04-10T06:47:43.000Z",
  "fetched_at": "2026-07-14T16:32:15.634Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6078",
  "original_url": "https://arxiv.org/abs/2604.14215v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}