{
  "id": 5260,
  "url": "https://arxiv.org/abs/2604.25605v2",
  "title": "Health System Scale Semantic Search Across Unstructured Clinical Notes",
  "summary": "Introduction: Semantic search, which retrieves documents based on conceptual similarity rather than keywords, offers advantages for retrieval of clinical information. However, deploying semantic search across health systems, comprising hundreds of millions of clinical notes, presents formidable engineering, cost, and governance challenges that have prevented institutional adoption. Methods: We deployed a semantic search system at a large children's hospital indexing 166 million clinical notes (4",
  "authors": "Faith Wavinya Mutinda, Spandana Makeneni, Anna Lin, Shivaji Dutta, Irit R. Rasooly, Patrick Dibussolo et al.",
  "category": "research",
  "topics": "regulation,healthcare,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-28T13:09:48.000Z",
  "fetched_at": "2026-07-14T16:31:35.577Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5260",
  "original_url": "https://arxiv.org/abs/2604.25605v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}