{
  "id": 14053,
  "url": "https://arxiv.org/abs/2607.24371v1",
  "title": "Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs",
  "summary": "Healthcare interoperability requires AI systems to produce structured outputs conforming to standardized schemas including ICD-10 for diagnostic coding, CPT for procedure billing, and HL7 FHIR for data exchange. While large language models demonstrate clinical reasoning capabilities, their integration into electronic health record systems faces a critical barrier: schema noncompliance. We evaluate three open-source models, Qwen2.5 7B, Llama 3.1 8B, and Gemma2 9B, via local deployment across 320",
  "authors": "Jianru Shen",
  "category": "research",
  "topics": "regulation,healthcare",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-07-27T12:45:27.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14053",
  "original_url": "https://arxiv.org/abs/2607.24371v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}